Effect of fertilizer application on growth and yield of soybean variety vnuad2 in winter season 2021 (khóa luận tốt nghiệp)

VIETNAM NATIONAL UNIVERSITY OF AGRICULTURE FALCUTY OF AGRONOMY UNDERGRADUATE THESIS TITLE: EFFECT OF FERTILIZER APPLICATION ON GROWTH AND YIELD OF SOYBEAN VARIETY VNUAD2 IN WINTER SEASON 2021 Student: LE DUC HIEN ID: 620010 Class: K62KHCTT Supervisor: Senior lecturer, Dr VU THI THUY HANG Department: PLANT GENETICS AND BREEDING HA NOI – March, 2021 DECLARATION I hereby declare that this paper is my own work All results and data in this thesis are absolutely honest and have not been submitted before to any institution for assessment purposes All sources used in this paper were cited in references Hanoi, 10th March 2022 Student Lê Đức Hiền i ACKNOWLEDGEMENT To complete this thesis, I am deeply indebted to people who have been providing me with precious support and advice Firstly, I would like to send my gratitude to my supervisor, Dr Vu Thi Thuy Hang, Department of Plant Genetics and Breeding, Faculty of Agronomy, Vietnam National University of Agriculture, for her enthusiastic support, helpful advice and considerable encouragement in the completion of my thesis I would also like to express sincere thanks to the lecturers from the Faculty of Agronomy in general and lecturers in the Department of Plant Genetics and Breeding in particular, who taught and created best conditions for students during learning process and research I would like to give special thanks to Dr Vu Ngoc Thang, Ms Phạm Thị Ly and Mr Hoàng Đức Nhật Linh for their helpful technical supports Last but not least, I want to express my sincere thanks to my family and friends who have always been by my side, give me support and strength to complete this graduation thesis ii TABLE OF CONTENTS DECLARATION i ACKNOWLEDGEMENT ii TABLE OF CONTENTS iii LIST OF TABLES v LIST OF FIGURES vi ABSTRACT vii CHAPTER INTRODUCTION 1.1 Background 1.2 Objective and requirements 1.2.1 Objective 1.2.2 Requirements PART II: LITERATURE REVIEW 2.1 Classification, origin of soybean 2.1.1 Origin of soybean 2.1.2 Classification of soybean 2.2 Soybean production in the world 2.3 Soybean production in Vietnam 2.4 Values of soybean 11 2.5 Fertilizer application in soybean production 12 2.5.1 General principles of fertilizer application 12 2.5.2 Research on fertilizer application for soybean in the world 14 2.5.3 Research on fertilizer application for soybean in Vietnam 17 CHAPTER III MATERIALS AND METHOD 21 3.1 Plant materials 21 3.2 Location and time 21 3.3 Experimental design 21 3.4 Cultural practices 23 3.5 Trait measurements 23 iii 3.5.1 Growth and development characters 23 3.5.2 Yield components and yield 25 3.6 Evaluation of disease and pest damage and lodging resistance of VNUAD2 25 3.7 Data analysis 26 CHAPTER RESULTS AND DISCUSSION 27 4.1 Effects of fertilizers on growth of VNUAD2 variety in winter season 2021 27 4.2 Effects of fertilizers on fresh weight of VNUAD2 variety in winter season 2021 at different growth stages 29 4.3 Effects of fertilizer on dry weight of VNUAD2 variety in winter season 2021 at different growth stages 34 4.4 Effects of fertilizers on nodule formation of VNUAD2 variety in winter season 2021 at different growth stages 38 4.5 Effects of fertilizer on leaf area and leaf area index of VNUAD2 variety in winter season 2021 at different growth stages 41 4.6 Effects of fertilizers on yield components of VNUAD2 variety in winter season 2021 43 4.7 Effect of fertilizers on individual yield and yield of VNUAD2 variety in winter season 2021 47 4.8 Effects of fertilizers on disease, pest damage and lodging resistance of VNUAD2 variety in winter season 2021 49 CHAPTER CONCLUSIONS AND SUGGESTIONS 51 5.1 Conclusions 51 5.2 Suggestion 51 REFERENCES 52 A Vietnamese references: 52 B Foreign references: 53 SOME PICTURES ABOUT PROCESS CONDUCTED UNDERGRADUATE THESIS 55 iv LIST OF TABLES Table 2.1 Status of soybean production in the world in the period 20102020 Table 2.2 Area, yield and production of soybeans of some countries in the period 2015-2020 Table 2.3 Area, yield and production of soybean in Vietnam during 20102020 Table 3.1 Measured traits for VNUAD2 in winter season 2021 24 Table 3.2 Yield components and yield measurement for VNUAD2 in winter season 2021 25 Table 3.3 Evaluation of disease and pest damage and lodging resistance of soybean 26 Table 4.1 Effects of fertilizers on growth of VNUAD2 variety in winter season 2021 28 Table 4.2 Effects of fertilizers on fresh weight of VNUAD2 variety in winter season 2021 at different growth stages 31 Table 4.3 Effects of fertilizer on dry weight of VNUAD2 variety in winter season 2021 at different growth stages 35 Table 4.4 Effects of fertilizer on nodules of VNUAD2 variety in winter season 2021 at different growth stages 39 Table 4.5 Effects of fertilizer on leaf area and leaf area index (LAI) of VNUAD2 variety in winter season 2021 at different growth stages 42 Table 4.6 Effects of fertilizers on yield components of VNUAD2 variety in winter season 2021 45 Table 4.7 Effects of fertilizers on individual yield and yield of VNUAD2 variety in winter season 2021 48 Table 4.8 Effects of fertilizers on disease, pest damage and lodging resistance of VNUAD2 variety in winter season 2021 49 v LIST OF FIGURES Figure 4.1 Growth of VNUAD2 at different fertilizer treatment at podding stage 33 Figure 4.2 Nodule formation of VNUAD2 at different fertilizer treatment 41 vi ABSTRACT This study aimed to identify the most suitable levels of nitrogen and potassium fertilizers for growth and yield of soybean variety VNUAD2 The experiment design split plot design with replications Three levels of nitrogen (40, 50 and 60 kg/ha) and four levels of potassium (60, 80, 100 and 120 kg/ha) were applied Plant density was of 50 plants/m², with rows/plot and plot size of m2 Measured traits included growth characters such as plant height, height of first pod insertion, number of leaves, nodes and primary branches on main stem, dry and fresh weight of plants, nodule formation, yield components and yield Pest and disease resistance and lodging resistance were also recorded Results showed that the growth parameters were affected by different fertilizer rates The amount of nitrogen at the level of 50 kg/ha and the amount of potassium at the level of 100 kg/ha resulted in higher plant height, first pod insert height, number of nodes, number of leaves, and number of primary branches Different rates of nitrogen and potassium also affect fresh and dry weight stem and roots, nodule characters and leaf areas at different growth stages The level of 50 kg/ha of nitrogen and 100 kg/ha of potassium provided the higher values than other rates Besides, the leaf area and leaf area index reached the high values at the application of 60 kg/ha of nitrogen and 80 kg/ha of potassium at the fruiting stage Yield components were also affected by different rates of fertilizer application Individual yield and yield achieved significantly high values when fertilizer was applied at 50 kg/ha for nitrogen and at 100 kg/ha for potassium vii CHAPTER INTRODUCTION 1.1 Background Soybean (Glycine max (L) Merrill) is a short-term industrial crop with multi-faceted effects It is a plant of high economic value, occupies an important position in the transformation of crop structure and diversity agricultural products in our country towards commodity agricultural production and sustainable agricultural development In addition, soybean is also a plant with the ability to fix nitrogen, increase soil fertility, and improve soil very well Its products are a source of food for humans, animal feed, raw materials for the processing industry, and valuable export items Therefore, soybean cultivation has long been interesting and strongly developed in many countries around the world, including Vietnam (Duong Hong Dat, 2012) Soybean is one of the most important grain legumes in terms of its use as food, animal feed, and industrial material, with seeds being characterized by a high content of protein (30 – 48%) and oil (13 – 22%) Soybean is ranked number one in the world oil production (48%) in the international trade markets among the major crops, including cottonseed, peanut, sunflower seed, coconut and palm kernel (Singh and Hymowitz 1999) In addition, soybean, as other legume plays a critical and important role in ecosystems and sustainable agriculture because of its ability to sequester C while enhancing soil quality and tilth (Graham and Vance 2003) Its capacity for symbiotic nitrogen fixation with compatible rhizobia (Graham and Vance 2003) provides essential and „free‟ nitrogen for use by the host plants or by associated or subsequent crops Soybean was domesticated from wild soybean, Glycine soja Sieb et Zucc in the cool, humid north-east of China (Hymowitz 1970) Then, the soybean was disseminated to other Asian countries such as Korea, Japan, Indonesia, the Philippines, India, Thailand, and Vietnam By the 16th and 17th centuries, the soybean was introduced to Europe and North America (Singh and Hymowitz 1999) Since the crop improvements aimed soybean as a grain crop started in the 1920s in well- irrigated areas of United States, soybean has become a large commercial grain crop and has been breed for mechanized agriculture (Hymowitz 1988) Nowadays, the soybean is a world crop, cultivated widely in the USA, Brazil, Argentina, China and India Soybean production is affected by many factors including varieties, agronomic practices, and climate conditions Of which, agronomical practices such as plant density, sowing time and fertilizer application are need to be studied to find the most suitable practice for any new varieties VNUAD2 is a new soybean variety and its plant density of 40 – 50 plant/m2 was identified by Vu et al (2021) However, there have not been studies on fertilizer application for it Therefore, we conduct the “Effect of fertilizer application on growth and yield of soybean variety VNUAD2.” 1.2 Objective and requirements 1.2.1 Objective Identify the most suitable levels of nitrogen and potassium fertilizers for growth and yield of soybean variety VNUAD2 1.2.2 Requirements VNUAD2 was grown in winter season 2021 in Gia Lam Different levels nitrogen and potassium fertilizer were applied to VNUAD2 The study required evaluation of growth and yield of VNUAD2 for: - Agronomical traits related to growth and development of VNUAD2 under different fertilizer application treatments - Yield components and yield of VNUAD2 under different fertilizer application - Based on growth performance and yield of VNUAD2 to select the most suitable level of fertilizer application ANOVA FOR SINGLE EFFECT - N$*K$ -VARIATE TREATMENT MS - DF RESIDUAL MS - DF F-RATIO F-PROB KLR1 0.52320 11 0.15491E-01 96 33.77 0.000 KLT1 1.2431 11 0.20040E-01 96 62.03 0.000 KLL1 1.0151 11 0.12492 96 8.13 0.000 KLR2 1.2885 11 0.26656E-01 96 48.34 0.000 KLT2 2.3241 11 0.43388 96 5.36 0.000 KLL2 2.8711 11 0.49214 96 5.83 0.000 KLR3 0.44836 11 0.41459E-01 96 10.81 0.000 KLT3 8.7851 11 4.6386 96 1.89 0.049 KLL3 2.6139 11 1.0063 96 2.60 0.006 TABLE OF MEANS FOR FACTORIAL EFFECTS FILE KLKHO 10/ 3/22 9:43 :PAGE MEANS FOR EFFECT CT$ CT$ N1 K1 N1 K2 N1 K3 N1 K4 N2 K1 N2 K2 N2 K3 N2 K4 N3 K1 N3 K2 N3 K3 N3 K4 NOS 9 9 9 9 9 9 KLR1 0.446667 0.493333 0.521111 0.503333 0.571111 0.636667 1.14889 0.804444 0.312222 0.435556 0.941111 0.465556 KLT1 KLL1 KLR2 0.495556 1.10444 0.468889 0.497778 1.24222 0.600000 0.956667 1.44000 0.816667 0.608889 1.33222 0.654444 0.628889 1.04444 0.371111 0.868889 1.22778 0.410000 1.62556 2.06111 1.52778 1.20333 2.00000 1.19778 0.503333 1.14444 0.470000 0.506667 1.18444 0.510000 1.18444 1.63889 1.21000 0.527778 1.41778 0.521111 SE(N= 9) 5%LSD 96DF 0.414882E-01 0.471876E-01 0.117815 0.544225E-01 0.116453 0.132451 0.330696 0.152759 CT$ N1 K1 N1 K2 N1 K3 N1 K4 N2 K1 N2 K2 N2 K3 N2 K4 N3 K1 N3 K2 N3 K3 N3 K4 KLT2 1.15556 2.01889 2.46222 2.32333 1.50333 1.76889 3.11444 1.89778 1.63000 2.00222 2.35222 2.00667 NOS 9 9 9 9 9 9 KLL2 1.22222 1.82667 2.65444 2.42667 1.69667 1.85667 3.22889 2.13222 1.62111 1.96333 2.80778 2.00778 KLR3 0.681111 0.716667 0.774445 0.725556 0.567778 0.585555 1.34333 1.08333 0.641111 0.698889 0.876667 0.716667 KLT3 4.95778 6.31000 6.69111 6.38111 5.21222 5.46444 8.28000 6.88222 4.64889 5.55667 6.01556 5.82667 SE(N= 9) 5%LSD 96DF 0.219566 0.233842 0.678718E-01 0.717912 0.616301 0.656373 0.190510 2.01511 CT$ N1 K1 N1 K2 N1 K3 N1 K4 N2 K1 N2 K2 N2 K3 N2 K4 N3 K1 N3 K2 N3 K3 N3 K4 KLL3 1.78000 2.05333 2.41556 2.10111 1.75111 1.86333 3.70556 2.07889 1.91000 2.34778 2.66778 2.45222 NOS 9 9 9 9 9 9 SE(N= 9) 0.334377 5%LSD 96DF 0.938564 MEANS FOR EFFECT N$ - 64 N$ N1 N2 N3 NOS KLR1 36 0.491111 36 0.790278 36 0.538611 SE(N= 36) 5%LSD 105DF N$ N1 N2 N3 NOS 36 36 36 SE(N= 36) 5%LSD 105DF N$ N1 N2 N3 NOS 36 36 36 KLT1 0.639722 1.08167 0.680556 KLL1 1.27972 1.58333 1.34639 KLR2 0.635000 0.876667 0.677778 0.377309E-01 0.546828E-01 0.751104E-01 0.641071E-01 0.105791 0.153321 0.210597 0.179745 KLT2 1.99000 2.07111 1.99778 KLL2 2.03250 2.22861 2.10000 KLR3 0.724444 0.895000 0.733333 KLT3 6.08500 6.45972 5.51194 0.133208 0.143753 0.467131E-01 0.372868 0.373492 0.403058 0.130976 1.04546 KLL3 2.08750 2.34972 2.34444 SE(N= 36) 0.180927 5%LSD 105DF 0.507289 MEANS FOR EFFECT K$ K$ K1 K2 K3 K4 NOS KLR1 27 0.443333 27 0.521852 27 0.870370 27 0.591111 SE(N= 27) 5%LSD 104DF K$ K1 K2 K3 K4 NOS 27 27 27 27 SE(N= 27) 5%LSD 104DF K$ K1 K2 K3 K4 NOS 27 27 27 27 KLT1 0.542593 0.624444 1.25556 0.780000 KLL1 1.09778 1.21815 1.71333 1.58333 KLR2 0.436667 0.506667 1.18481 0.791111 0.397811E-01 0.512043E-01 0.760540E-01 0.512533E-01 0.111552 0.143584 0.213266 0.143722 KLT2 1.42963 1.93000 2.64296 2.07593 KLL2 1.51333 1.88222 2.89704 2.18889 KLR3 0.630000 0.667037 0.998148 0.841852 KLT3 4.93963 5.77704 6.99556 6.36333 0.129411 0.134680 0.483848E-01 0.413429 0.362886 0.377662 0.135678 1.15931 KLL3 1.81370 2.08815 2.92963 2.21074 SE(N= 27) 0.195213 5%LSD 104DF 0.547404 MEANS FOR EFFECT REP REP NOS KLR1 KLT1 KLL1 KLR2 36 0.583889 0.772222 1.33694 0.675278 36 0.612778 0.801111 1.44333 0.770278 36 0.623333 0.828611 1.42917 0.743889 SE(N= 36) 5%LSD 105DF REP 0.436811E-01 0.641184E-01 0.778651E-01 0.661869E-01 0.122474 0.179777 0.218320 0.185577 NOS KLT2 KLL2 KLR3 KLT3 36 2.11194 1.95444 0.754444 5.43972 36 2.05028 2.38750 0.809167 6.87583 36 1.89667 2.01917 0.789167 5.74111 65 SE(N= 36) 5%LSD 105DF REP 0.132470 0.140764 0.484054E-01 0.363933 0.371424 0.394678 0.135720 1.02041 NOS KLL3 36 1.68250 36 2.73667 36 2.36250 SE(N= 36) 0.166500 5%LSD 105DF 0.466839 MEANS FOR EFFECT N$*K$ N$ N1 N1 N1 N1 N2 N2 N2 N2 N3 N3 N3 N3 K$ K1 K2 K3 K4 K1 K2 K3 K4 K1 K2 K3 K4 NOS 9 9 9 9 9 9 SE(N= 9) 5%LSD 96DF N$ N1 N1 N1 N1 N2 N2 N2 N2 N3 N3 N3 N3 K$ K1 K2 K3 K4 K1 K2 K3 K4 K1 K2 K3 K4 N$ K$ K1 K2 K3 K4 K1 K2 K3 K4 K1 K2 K3 K4 KLT1 KLL1 0.495556 1.10444 0.497778 1.24222 0.956667 1.44000 0.608889 1.33222 0.628889 1.04444 0.868889 1.22778 1.62556 2.06111 1.20333 2.00000 0.503333 1.14444 0.506667 1.18444 1.18444 1.63889 0.527778 1.41778 0.414882E-01 0.471876E-01 0.117815 0.116453 0.132451 0.330696 NOS 9 9 9 9 9 9 SE(N= 9) 5%LSD 96DF N1 N1 N1 N1 N2 N2 N2 N2 N3 N3 N3 N3 KLR1 0.446667 0.493333 0.521111 0.503333 0.571111 0.636667 1.14889 0.804444 0.312222 0.435556 0.941111 0.465556 KLR2 KLT2 0.468889 1.15556 0.600000 2.01889 0.816667 2.46222 0.654444 2.32333 0.371111 1.50333 0.410000 1.76889 1.52778 3.11444 1.19778 1.89778 0.470000 1.63000 0.510000 2.00222 1.21000 2.35222 0.521111 2.00667 KLL2 1.22222 1.82667 2.65444 2.42667 1.69667 1.85667 3.22889 2.13222 1.62111 1.96333 2.80778 2.00778 0.544225E-01 0.219566 0.233842 0.152759 0.616301 0.656373 NOS 9 9 9 9 9 9 KLR3 KLT3 0.681111 4.95778 0.716667 6.31000 0.774445 6.69111 0.725556 6.38111 0.567778 5.21222 0.585555 5.46444 1.34333 8.28000 1.08333 6.88222 0.641111 4.64889 0.698889 5.55667 0.876667 6.01556 0.716667 5.82667 KLL3 1.78000 2.05333 2.41556 2.10111 1.75111 1.86333 3.70556 2.07889 1.91000 2.34778 2.66778 2.45222 SE(N= 9) 0.678718E-01 0.717912 0.334377 5%LSD 96DF 0.190510 2.01511 0.938564 - 66 ANALYSIS OF VARIANCE SUMMARY TABLE FILE KLKHO 10/ 3/22 9:43 :PAGE F-PROBABLIITY VALUES FOR EACH EFFECT IN THE MODEL SECTION - VARIATE GRAND MEAN STANDARD DEVIATION C OF V |CT$ |N$ |K$ |REP |N$*K$ | (N= 108) SD/MEAN | | | | | | NO BASED ON BASED ON % | | | | | | OBS TOTAL SS RESID SS | | | | | | KLR1 108 0.60667 0.26017 0.26209 43.2 0.0000 0.0000 0.0000 0.8065 0.0000 KLT1 108 0.80065 0.38180 0.38471 48.0 0.0000 0.0000 0.0000 0.8263 0.0000 KLL1 108 1.4031 0.46522 0.46719 33.3 0.0000 0.0131 0.0000 0.5839 0.0000 KLR2 108 0.72981 0.39544 0.39712 54.4 0.0000 0.0199 0.0000 0.5848 0.0000 KLT2 108 2.0196 0.79259 0.79482 39.4 0.0000 0.8932 0.0000 0.5032 0.0000 KLL2 108 2.1204 0.85832 0.84458 39.8 0.0000 0.6256 0.0000 0.0666 0.0000 KLR3 108 0.78426 0.28860 0.29043 37.0 0.0000 0.0170 0.0000 0.7264 0.0000 KLT3 108 6.0189 2.2505 2.1836 36.3 0.0493 0.1972 0.0055 0.0154 0.0493 KLL3 108 2.2606 1.0824 0.99900 44.2 0.0062 0.5103 0.0010 0.0001 0.0062 SINGLE EFFECT ANOVA FOR UNBALANCED DATA FILE NOTSAN 10/ 3/22 9:44 :PAGE ANOVA FOR SINGLE EFFECT - CT$ -VARIATE TREATMENT MS - DF RESIDUAL MS - DF F-RATIO F-PROB NS1 143.42 11 8.5764 96 16.72 0.000 KLNS1 0.23057E-01 11 0.21903E-02 96 10.53 0.000 NS2 359.64 11 29.905 96 12.03 0.000 KLNS2 0.84537E-01 11 0.14423E-01 96 5.86 0.000 NS3 435.10 11 45.417 96 9.58 0.000 KLNS3 0.43837E-01 11 0.87044E-02 96 5.04 0.000 ANOVA FOR SINGLE EFFECT - N$ -VARIATE TREATMENT MS - DF RESIDUAL MS - DF F-RATIO F-PROB NS1 522.53 12.913 105 40.47 0.000 KLNS1 0.17707E-01 0.40808E-02 105 4.34 0.015 NS2 1240.1 41.398 105 29.95 0.000 KLNS2 0.20382 0.18161E-01 105 11.22 0.000 NS3 887.90 70.193 105 12.65 0.000 KLNS3 0.84836E-01 0.10935E-01 105 7.76 0.001 ANOVA FOR SINGLE EFFECT - K$ -VARIATE TREATMENT MS - DF RESIDUAL MS - DF F-RATIO F-PROB NS1 139.27 19.068 104 7.30 0.000 KLNS1 0.54199E-01 0.28971E-02 104 18.71 0.000 NS2 386.10 54.506 104 7.08 0.000 KLNS2 0.16660 0.17450E-01 104 9.55 0.000 NS3 853.51 63.323 104 13.48 0.000 KLNS3 0.86055E-01 0.10189E-01 104 8.45 0.000 ANOVA FOR SINGLE EFFECT - REP -VARIATE TREATMENT MS - DF RESIDUAL MS - DF F-RATIO F-PROB NS1 68.583 21.560 105 3.18 0.044 KLNS1 0.66564E-02 0.42913E-02 105 1.55 0.215 NS2 56.954 63.934 105 0.89 0.416 KLNS2 0.12468E-01 0.21806E-01 105 0.57 0.572 NS3 11.148 86.893 105 0.13 0.880 KLNS3 0.28611E-03 0.12545E-01 105 0.02 0.978 ANOVA FOR SINGLE EFFECT - N$*K$ -VARIATE TREATMENT MS - DF RESIDUAL MS - DF F-RATIO F-PROB NS1 143.42 11 8.5764 96 16.72 0.000 KLNS1 0.23057E-01 11 0.21903E-02 96 10.53 0.000 NS2 359.64 11 29.905 96 12.03 0.000 KLNS2 0.84537E-01 11 0.14423E-01 96 5.86 0.000 NS3 435.10 11 45.417 96 9.58 0.000 KLNS3 0.43837E-01 11 0.87044E-02 96 5.04 0.000 67 TABLE OF MEANS FOR FACTORIAL EFFECTS FILE NOTSAN 10/ 3/22 9:44 :PAGE MEANS FOR EFFECT CT$ CT$ N1 K1 N1 K2 N1 K3 N1 K4 N2 K1 N2 K2 N2 K3 N2 K4 N3 K1 N3 K2 N3 K3 N3 K4 NOS 9 9 9 9 9 9 NS1 32.2222 33.0000 35.2222 33.3333 36.3333 39.0000 45.2222 42.4444 33.3333 34.6667 37.4444 35.4444 KLNS1 0.405556 0.518889 0.574444 0.541111 0.536667 0.552222 0.571111 0.555556 0.470000 0.501111 0.581111 0.553333 NS2 47.0000 47.4444 50.2222 48.2222 53.6667 56.3333 66.3333 63.1111 50.1111 54.6667 60.4444 56.2222 KLNS2 0.508889 0.574444 0.711111 0.642556 0.700000 0.728889 0.859222 0.750000 0.577778 0.670000 0.781111 0.681111 SE(N= 9) 5%LSD 96DF 0.976181 0.156001E-01 1.82285 0.400323E-01 2.74005 0.437881E-01 5.11657 0.112367 CT$ N1 K1 N1 K2 N1 K3 N1 K4 N2 K1 N2 K2 N2 K3 N2 K4 N3 K1 N3 K2 N3 K3 N3 K4 NS3 54.2222 66.0000 70.7778 68.4444 71.1111 73.0000 77.0000 75.2222 56.1111 67.2222 72.5556 69.2222 NOS 9 9 9 9 9 9 KLNS3 0.632222 0.772222 0.821111 0.777778 0.810000 0.823333 0.921111 0.836667 0.751111 0.780000 0.861111 0.823333 SE(N= 9) 2.24640 0.310991E-01 5%LSD 96DF 6.30541 0.872923E-01 MEANS FOR EFFECT N$ N$ N1 N2 N3 NOS 36 36 36 SE(N= 36) 5%LSD 105DF N$ N1 N2 N3 NOS 36 36 36 NS1 33.4444 40.7500 35.2222 KLNS1 0.510000 0.553889 0.526389 NS2 48.2222 59.8611 55.3611 KLNS2 0.609250 0.759528 0.677500 0.598910 0.106469E-01 1.07236 0.224605E-01 1.67924 0.298520E-01 3.00671 0.629753E-01 NS3 64.8611 74.0833 66.2778 KLNS3 0.750833 0.847778 0.803889 SE(N= 36) 1.39636 0.174283E-01 5%LSD 105DF 3.91514 0.488659E-01 MEANS FOR EFFECT K$ K$ K1 K2 K3 K4 NOS 27 27 27 27 SE(N= 27) 5%LSD 104DF K$ NOS NS1 33.9630 35.5556 39.2963 37.0741 KLNS1 0.470741 0.524074 0.575556 0.550000 NS2 50.2593 52.8148 59.0000 55.8519 KLNS2 0.595555 0.657778 0.783815 0.691222 0.840378 0.103587E-01 1.42083 0.254221E-01 2.35654 0.290472E-01 3.98421 0.712871E-01 NS3 KLNS3 68 K1 K2 K3 K4 27 27 27 27 60.4815 68.7407 73.4444 70.9630 0.731111 0.791852 0.867778 0.812593 SE(N= 27) 1.53143 0.194261E-01 5%LSD 104DF 4.29435 0.544735E-01 MEANS FOR EFFECT REP REP NOS NS1 KLNS1 NS2 KLNS2 36 37.9167 0.542500 54.7500 0.691750 36 36.3333 0.532222 55.5833 0.693889 36 35.1667 0.515556 53.1111 0.660639 SE(N= 36) 5%LSD 105DF REP 0.773870 0.109180E-01 1.33264 0.246113E-01 2.16980 0.306122E-01 3.73651 0.690059E-01 NOS NS3 KLNS3 36 68.4444 0.797778 36 68.9444 0.801389 36 67.8333 0.803333 SE(N= 36) 1.55361 0.186676E-01 5%LSD 105DF 4.35605 0.523408E-01 MEANS FOR EFFECT N$*K$ N$ N1 N1 N1 N1 N2 N2 N2 N2 N3 N3 N3 N3 K$ K1 K2 K3 K4 K1 K2 K3 K4 K1 K2 K3 K4 NOS 9 9 9 9 9 9 SE(N= 9) 5%LSD 96DF N$ N1 N1 N1 N1 N2 N2 N2 N2 N3 N3 N3 N3 K$ K1 K2 K3 K4 K1 K2 K3 K4 K1 K2 K3 K4 NS1 32.2222 33.0000 35.2222 33.3333 36.3333 39.0000 45.2222 42.4444 33.3333 34.6667 37.4444 35.4444 KLNS1 0.405556 0.518889 0.574444 0.541111 0.536667 0.552222 0.571111 0.555556 0.470000 0.501111 0.581111 0.553333 NS2 47.0000 47.4444 50.2222 48.2222 53.6667 56.3333 66.3333 63.1111 50.1111 54.6667 60.4444 56.2222 0.976181 0.156001E-01 1.82285 2.74005 0.437881E-01 5.11657 NOS 9 9 9 9 9 9 KLNS2 0.508889 0.574444 0.711111 0.642556 0.700000 0.728889 0.859222 0.750000 0.577778 0.670000 0.781111 0.681111 NS3 54.2222 66.0000 70.7778 68.4444 71.1111 73.0000 77.0000 75.2222 56.1111 67.2222 72.5556 69.2222 KLNS3 0.632222 0.772222 0.821111 0.777778 0.810000 0.823333 0.921111 0.836667 0.751111 0.780000 0.861111 0.823333 SE(N= 9) 0.400323E-01 2.24640 0.310991E-01 5%LSD 96DF 0.112367 6.30541 0.872923E-01 - 69 ANALYSIS OF VARIANCE SUMMARY TABLE FILE NOTSAN 10/ 3/22 9:44 :PAGE F-PROBABLIITY VALUES FOR EACH EFFECT IN THE MODEL SECTION - VARIATE GRAND MEAN STANDARD DEVIATION C OF V |CT$ |N$ |K$ |REP |N$*K$ | (N= 108) SD/MEAN | | | | | | NO BASED ON BASED ON % | | | | | | OBS TOTAL SS RESID SS | | | | | | NS1 108 36.472 4.7369 4.6432 12.7 0.0000 0.0000 0.0002 0.0444 0.0000 KLNS1 108 0.53009 0.65845E-010.65508E-01 12.4 0.0000 0.0153 0.0000 0.2151 0.0000 NS2 108 54.481 7.9877 7.9959 14.7 0.0000 0.0000 0.0003 0.4161 0.0000 KLNS2 108 0.68209 0.14708 0.14767 21.6 0.0000 0.0001 0.0000 0.5717 0.0000 NS3 108 68.407 9.2454 9.3216 13.6 0.0000 0.0000 0.0000 0.8799 0.0000 KLNS3 108 0.80083 0.11098 0.11201 14.0 0.0000 0.0008 0.0001 0.9780 0.0000 SINGLE EFFECT ANOVA FOR UNBALANCED DATA FILE LA 10/ 3/22 9:45 :PAGE ANOVA FOR SINGLE EFFECT - CT$ -VARIATE TREATMENT MS - DF RESIDUAL MS - DF F-RATIO F-PROB DTL1 1.0673 11 0.16408 96 6.50 0.000 LAI 0.26681 11 0.41021E-01 96 6.50 0.000 DTL2 0.98259 11 0.75981 96 1.29 0.240 LAI 0.24565 11 0.18995 96 1.29 0.240 DTL3 2.4637 11 0.44475 96 5.54 0.000 LAI 0.61591 11 0.11119 96 5.54 0.000 ANOVA FOR SINGLE EFFECT - N$ -VARIATE TREATMENT MS - DF RESIDUAL MS - DF F-RATIO F-PROB DTL1 3.0621 0.20350 105 15.05 0.000 LAI 0.76551 0.50876E-01 105 15.05 0.000 DTL2 2.7913 0.74446 105 3.75 0.026 LAI 0.69782 0.18611 105 3.75 0.026 DTL3 1.1519 0.64278 105 1.79 0.169 LAI 0.28798 0.16070 105 1.79 0.169 ANOVA FOR SINGLE EFFECT - K$ -VARIATE TREATMENT MS - DF RESIDUAL MS - DF F-RATIO F-PROB DTL1 1.1268 0.23184 104 4.86 0.003 LAI 0.28169 0.57960E-01 104 4.86 0.003 DTL2 1.0970 0.77365 104 1.42 0.241 LAI 0.27425 0.19341 104 1.42 0.241 DTL3 7.9730 0.44112 104 18.07 0.000 LAI 1.9932 0.11028 104 18.07 0.000 ANOVA FOR SINGLE EFFECT - REP -VARIATE TREATMENT MS - DF RESIDUAL MS - DF F-RATIO F-PROB DTL1 0.19888 0.25804 105 0.77 0.469 LAI 0.49720E-01 0.64510E-01 105 0.77 0.469 DTL2 1.6626 0.76595 105 2.17 0.117 LAI 0.41565 0.19149 105 2.17 0.117 DTL3 1.4889 0.63636 105 2.34 0.099 LAI 0.37224 0.15909 105 2.34 0.099 ANOVA FOR SINGLE EFFECT - N$*K$ -VARIATE TREATMENT MS - DF RESIDUAL MS - DF F-RATIO F-PROB DTL1 1.0673 11 0.16408 96 6.50 0.000 LAI 0.26681 11 0.41021E-01 96 6.50 0.000 DTL2 0.98259 11 0.75981 96 1.29 0.240 LAI 0.24565 11 0.18995 96 1.29 0.240 DTL3 2.4637 11 0.44475 96 5.54 0.000 LAI 0.61591 11 0.11119 96 5.54 0.000 70 TABLE OF MEANS FOR FACTORIAL EFFECTS FILE LA 10/ 3/22 9:45 :PAGE MEANS FOR EFFECT CT$ CT$ N1 K1 N1 K2 N1 K3 N1 K4 N2 K1 N2 K2 N2 K3 N2 K4 N3 K1 N3 K2 N3 K3 N3 K4 NOS 9 9 9 9 9 9 DTL1 2.46402 2.56536 2.49927 2.51986 3.17411 3.35126 3.29326 2.54706 2.72132 3.20994 2.90396 2.60790 LAI 1.23201 1.28268 1.24963 1.25993 1.58705 1.67563 1.64663 1.27353 1.36066 1.60497 1.45198 1.30395 DTL2 7.46718 7.56791 7.49412 7.62122 7.84978 8.45143 8.23336 7.69784 7.76871 8.28789 8.08166 7.73925 LAI 3.73359 3.78396 3.74706 3.81061 3.92489 4.22572 4.11668 3.84892 3.88436 4.14395 4.04083 3.86963 SE(N= 9) 5%LSD 96DF 0.135024 0.675122E-01 0.290557 0.145279 0.379000 0.189500 0.815566 0.407783 CT$ N1 K1 N1 K2 N1 K3 N1 K4 N2 K1 N2 K2 N2 K3 N2 K4 N3 K1 N3 K2 N3 K3 N3 K4 DTL3 5.99230 6.77590 6.50587 5.78196 6.31916 7.24895 7.09665 5.82223 6.09927 6.96665 6.77511 5.91754 NOS 9 9 9 9 9 9 LAI 2.99615 3.38795 3.25294 2.89098 3.15958 3.62448 3.54832 2.91112 3.04963 3.48332 3.38756 2.95877 SE(N= 9) 0.222298 0.111149 5%LSD 96DF 0.623968 0.311984 MEANS FOR EFFECT N$ N$ N1 N2 N3 NOS 36 36 36 SE(N= 36) 5%LSD 105DF N$ N1 N2 N3 NOS 36 36 36 DTL1 2.51213 3.09142 2.86078 LAI 1.25606 1.54571 1.43039 DTL2 7.53761 8.05810 7.96938 LAI 3.76880 4.02905 3.98469 0.751854E-01 0.375927E-01 0.143803 0.719015E-01 0.210807 0.105404 0.403199 0.201600 DTL3 6.26401 6.62175 6.43964 LAI 3.13200 3.31087 3.21982 SE(N= 36) 0.133623 0.668114E-01 5%LSD 105DF 0.374655 0.187328 MEANS FOR EFFECT K$ K$ K1 K2 K3 K4 NOS 27 27 27 27 SE(N= 27) 5%LSD 104DF K$ NOS DTL1 2.78648 3.04218 2.89883 2.55827 LAI 1.39324 1.52109 1.44942 1.27914 DTL2 7.69522 8.10241 7.93638 7.68610 LAI 3.84761 4.05121 3.96819 3.84305 0.926647E-01 0.463323E-01 0.169274 0.846369E-01 0.259845 0.129923 0.474668 0.237334 DTL3 LAI 71 K1 K2 K3 K4 27 27 27 27 6.13691 6.99717 6.79254 5.84058 3.06845 3.49858 3.39627 2.92029 SE(N= 27) 0.127820 0.639100E-01 5%LSD 104DF 0.358426 0.179213 MEANS FOR EFFECT REP REP NOS DTL1 LAI DTL2 LAI 36 2.78416 1.39208 7.93030 3.96515 36 2.90703 1.45352 8.02217 4.01109 36 2.77314 1.38657 7.61262 3.80631 SE(N= 36) 5%LSD 105DF REP 0.846626E-01 0.423313E-01 0.145865 0.729323E-01 0.237379 0.118690 0.408980 0.204490 NOS DTL3 LAI 36 6.56241 3.28121 36 6.20700 3.10350 36 6.55599 3.27799 SE(N= 36) 0.132954 0.664769E-01 5%LSD 105DF 0.372780 0.186390 MEANS FOR EFFECT N$*K$ N$ N1 N1 N1 N1 N2 N2 N2 N2 N3 N3 N3 N3 K$ K1 K2 K3 K4 K1 K2 K3 K4 K1 K2 K3 K4 NOS 9 9 9 9 9 9 SE(N= 9) 5%LSD 96DF N$ N1 N1 N1 N1 N2 N2 N2 N2 N3 N3 N3 N3 K$ K1 K2 K3 K4 K1 K2 K3 K4 K1 K2 K3 K4 DTL1 2.46402 2.56536 2.49927 2.51986 3.17411 3.35126 3.29326 2.54706 2.72132 3.20994 2.90396 2.60790 LAI 1.23201 1.28268 1.24963 1.25993 1.58705 1.67563 1.64663 1.27353 1.36066 1.60497 1.45198 1.30395 DTL2 7.46718 7.56791 7.49412 7.62122 7.84978 8.45143 8.23336 7.69784 7.76871 8.28789 8.08166 7.73925 0.135024 0.675122E-01 0.290557 0.379000 0.189500 0.815566 NOS 9 9 9 9 9 9 LAI 3.73359 3.78396 3.74706 3.81061 3.92489 4.22572 4.11668 3.84892 3.88436 4.14395 4.04083 3.86963 DTL3 5.99230 6.77590 6.50587 5.78196 6.31916 7.24895 7.09665 5.82223 6.09927 6.96665 6.77511 5.91754 LAI 2.99615 3.38795 3.25294 2.89098 3.15958 3.62448 3.54832 2.91112 3.04963 3.48332 3.38756 2.95877 SE(N= 9) 0.145279 0.222298 0.111149 5%LSD 96DF 0.407783 0.623968 0.311984 - 72 ANALYSIS OF VARIANCE SUMMARY TABLE FILE LA 10/ 3/22 9:45 :PAGE F-PROBABLIITY VALUES FOR EACH EFFECT IN THE MODEL SECTION - VARIATE GRAND MEAN STANDARD DEVIATION C OF V |CT$ (N= 108) SD/MEAN | | | | | | NO BASED ON BASED ON % | | | | | OBS TOTAL SS RESID SS | | | | | | DTL1 108 2.8214 0.50689 0.50798 18.0 0.0000 0.0000 0.0035 LAI 108 1.4107 0.25344 0.25399 18.0 0.0000 0.0000 0.0035 DTL2 108 7.8550 0.88471 0.87519 11.1 0.2397 0.0262 0.2406 LAI 108 3.9275 0.44236 0.43759 11.1 0.2397 0.0262 0.2406 DTL3 108 6.4418 0.80765 0.79772 12.4 0.0000 0.1695 0.0000 LAI 108 3.2209 0.40382 0.39886 12.4 0.0000 0.1695 0.0000 |N$ |K$ |REP |N$*K$ | | 0.4691 0.4691 0.1169 0.1169 0.0992 0.0992 0.0000 0.0000 0.2397 0.2397 0.0000 0.0000 SINGLE EFFECT ANOVA FOR UNBALANCED DATA FILE CTNSUAT 10/ 3/22 9:48 :PAGE ANOVA FOR SINGLE EFFECT - CT$ -VARIATE TREATMENT MS - DF RESIDUAL MS - DF F-RATIO F-PROB SQ 190.45 11 7.2488 348 26.27 0.000 SQC 193.47 11 7.3935 348 26.17 0.000 TL1 1820.8 11 104.75 348 17.38 0.000 TL3 2541.4 11 117.70 348 21.59 0.000 P1000 2354.5 11 80.180 348 29.37 0.000 ANOVA FOR SINGLE EFFECT - N$ -VARIATE TREATMENT MS - DF RESIDUAL MS - DF F-RATIO F-PROB SQ 187.31 11.885 357 15.76 0.000 SQC 193.10 12.087 357 15.98 0.000 TL1 5750.9 126.00 357 45.64 0.000 TL3 5935.2 159.79 357 37.14 0.000 P1000 813.83 146.15 357 5.57 0.004 ANOVA FOR SINGLE EFFECT - K$ -VARIATE TREATMENT MS - DF RESIDUAL MS - DF F-RATIO F-PROB SQ 414.76 9.4753 356 43.77 0.000 SQC 422.70 9.6434 356 43.83 0.000 TL1 1924.1 142.45 356 13.51 0.000 TL3 3984.4 160.01 356 24.90 0.000 P1000 6340.8 97.697 356 64.90 0.000 ANOVA FOR SINGLE EFFECT - REP -VARIATE TREATMENT MS - DF RESIDUAL MS - DF F-RATIO F-PROB SQ 39.433 12.713 357 3.10 0.045 SQC 51.586 12.880 357 4.01 0.019 TL1 325.00 156.40 357 2.08 0.124 TL3 28.513 192.88 357 0.15 0.863 P1000 7818.7 106.90 357 73.14 0.000 ANOVA FOR SINGLE EFFECT - N$*K$ -VARIATE TREATMENT MS - DF RESIDUAL MS - DF F-RATIO F-PROB SQ 190.45 11 7.2488 348 26.27 0.000 SQC 193.47 11 7.3935 348 26.17 0.000 TL1 1820.8 11 104.75 348 17.38 0.000 TL3 2541.4 11 117.70 348 21.59 0.000 P1000 2354.5 11 80.180 348 29.37 0.000 73 TABLE OF MEANS FOR FACTORIAL EFFECTS FILE CTNSUAT 10/ 3/22 9:48 :PAGE MEANS FOR EFFECT CT$ CT$ N1 K1 N1 K2 N1 K3 N1 K4 N2 K1 N2 K2 N2 K3 N2 K4 N3 K1 N3 K2 N3 K3 N3 K4 NOS 30 30 30 30 30 30 30 30 30 30 30 30 SQ 8.33333 12.3667 14.7333 11.9333 11.2000 12.8667 19.0000 13.8333 13.2333 12.6333 14.5000 14.3667 SQC 7.96667 12.0000 14.1667 11.4000 10.6667 12.3000 18.6667 13.6000 12.8000 12.2000 14.2000 13.7667 TL1 TL3 46.5435 17.0644 36.7895 16.9145 26.9250 34.4048 30.1286 15.1989 25.7592 24.5471 23.5353 31.9589 16.4819 43.6450 19.2314 39.6698 28.9547 20.8552 30.0716 30.0716 27.0187 32.4536 27.1614 26.8934 SE(N= 30) 5%LSD 348DF 0.491557 0.496437 1.86864 1.98078 1.36709 1.38066 5.19693 5.50881 CT$ N1 K1 N1 K2 N1 K3 N1 K4 N2 K1 N2 K2 N2 K3 N2 K4 N3 K1 N3 K2 N3 K3 N3 K4 P1000 202.857 204.090 215.220 207.937 198.677 209.733 225.167 215.920 207.390 196.147 222.297 207.377 NOS 30 30 30 30 30 30 30 30 30 30 30 30 SE(N= 30) 1.63483 5%LSD 348DF 4.54667 MEANS FOR EFFECT N$ N$ N1 N2 N3 NOS 120 120 120 SE(N= 120) 5%LSD 357DF N$ N1 N2 N3 NOS 120 120 120 SQ 11.8417 14.2250 13.6833 SQC 11.3833 13.8083 13.2417 TL1 TL3 35.0967 20.8956 21.2520 34.9552 28.3016 27.5684 0.314707 0.317368 1.02469 1.15396 0.875164 0.882566 2.84954 3.20903 P1000 207.526 212.374 208.302 SE(N= 120) 1.10359 5%LSD 357DF 3.06895 MEANS FOR EFFECT K$ K$ K1 K2 K3 K4 NOS 90 90 90 90 SE(N= 90) 5%LSD 356DF K$ NOS SQ 10.9222 12.6222 16.0778 13.3778 SQC 10.4778 12.1667 15.6778 12.9222 TL1 33.7525 30.1321 23.4752 25.5071 TL3 20.8222 26.3150 36.8345 27.2540 0.324471 0.327337 1.25807 1.33338 0.902327 0.910297 3.49858 3.70801 P1000 74 K1 K2 K3 K4 90 90 90 90 202.974 203.323 220.895 210.411 SE(N= 90) 1.04188 5%LSD 356DF 2.89739 MEANS FOR EFFECT REP REP NOS SQ 120 12.6000 120 13.6833 120 13.4667 SE(N= 120) 5%LSD 357DF REP SQC 12.0917 13.3750 12.9667 TL1 28.5615 26.4260 29.6627 TL3 27.3381 28.3110 27.7702 0.325490 0.327611 1.14162 1.26782 0.905152 0.911051 3.17471 3.52568 NOS P1000 120 205.755 120 218.653 120 203.795 SE(N= 120) 0.943861 5%LSD 357DF 2.62477 MEANS FOR EFFECT N$*K$ N$ N1 N1 N1 N1 N2 N2 N2 N2 N3 N3 N3 N3 K$ K1 K2 K3 K4 K1 K2 K3 K4 K1 K2 K3 K4 NOS 30 30 30 30 30 30 30 30 30 30 30 30 SE(N= 30) 5%LSD 348DF N$ N1 N1 N1 N1 N2 N2 N2 N2 N3 N3 N3 N3 K$ K1 K2 K3 K4 K1 K2 K3 K4 K1 K2 K3 K4 SQ 8.33333 12.3667 14.7333 11.9333 11.2000 12.8667 19.0000 13.8333 13.2333 12.6333 14.5000 14.3667 SQC 7.96667 12.0000 14.1667 11.4000 10.6667 12.3000 18.6667 13.6000 12.8000 12.2000 14.2000 13.7667 TL1 46.5435 36.7895 26.9250 30.1286 25.7592 23.5353 16.4819 19.2314 28.9547 30.0716 27.0187 27.1614 0.491557 0.496437 1.86864 1.36709 1.38066 5.19693 NOS 30 30 30 30 30 30 30 30 30 30 30 30 TL3 17.0644 16.9145 34.4048 15.1989 24.5471 31.9589 43.6450 39.6698 20.8552 30.0716 32.4536 26.8934 P1000 202.857 204.090 215.220 207.937 198.677 209.733 225.167 215.920 207.390 196.147 222.297 207.377 SE(N= 30) 1.98078 1.63483 5%LSD 348DF 5.50881 4.54667 - 75 ANALYSIS OF VARIANCE SUMMARY TABLE FILE CTNSUAT 10/ 3/22 9:48 :PAGE F-PROBABLIITY VALUES FOR EACH EFFECT IN THE MODEL SECTION - VARIATE GRAND MEAN STANDARD DEVIATION C OF V |CT$ |N$ (N= 360) SD/MEAN | | | | | | NO BASED ON BASED ON % | | | | | | OBS TOTAL SS RESID SS | | | | | | SQ 360 13.250 3.5864 3.5656 26.9 0.0000 0.0000 0.0000 0.0450 SQC 360 12.811 3.6187 3.5888 28.0 0.0000 0.0000 0.0000 0.0188 TL1 360 28.217 12.543 12.506 44.3 0.0000 0.0000 0.0000 0.1243 TL3 360 27.806 13.855 13.888 49.9 0.0000 0.0000 0.0000 0.8633 P1000 360 209.40 12.242 10.339 4.9 0.0000 0.0043 0.0000 0.0000 |K$ |REP |N$*K$ | 0.0000 0.0000 0.0000 0.0000 0.0000 SINGLE EFFECT ANOVA FOR UNBALANCED DATA FILE NSUAT 10/ 3/22 9:49 :PAGE ANOVA FOR SINGLE EFFECT - CT$ -VARIATE TREATMENT MS - DF RESIDUAL MS - DF F-RATIO F-PROB NSCT 21.616 11 1.8096 348 11.95 0.000 NSTT 1.0833 11 0.45244E-01 348 23.94 0.000 NSLT 5.5919 11 0.13047 348 42.86 0.000 ANOVA FOR SINGLE EFFECT - N$ -VARIATE TREATMENT MS - DF RESIDUAL MS - DF F-RATIO F-PROB NSCT 60.445 2.0913 357 28.90 NSTT 1.1975 0.70774E-01 357 16.92 NSLT 17.044 0.20400 357 83.55 0.000 0.000 0.000 ANOVA FOR SINGLE EFFECT - K$ -VARIATE TREATMENT MS - DF RESIDUAL MS - DF F-RATIO F-PROB NSCT 36.469 2.1295 356 17.13 0.000 NSTT 2.6080 0.55723E-01 356 46.80 0.000 NSLT 8.5084 0.22862 356 37.22 0.000 ANOVA FOR SINGLE EFFECT - REP -VARIATE TREATMENT MS - DF RESIDUAL MS - DF F-RATIO F-PROB NSCT 21.056 2.3120 357 9.11 0.000 NSTT 3.3758 0.58571E-01 357 57.64 0.000 NSLT 5.2257 0.27021 357 19.34 0.000 ANOVA FOR SINGLE EFFECT - N$*K$ -VARIATE TREATMENT MS - DF RESIDUAL MS - DF F-RATIO F-PROB NSCT 21.616 11 1.8096 348 11.95 0.000 NSTT 1.0833 11 0.45244E-01 348 23.94 0.000 NSLT 5.5919 11 0.13047 348 42.86 0.000 76 TABLE OF MEANS FOR FACTORIAL EFFECTS FILE NSUAT 10/ 3/22 9:49 :PAGE MEANS FOR EFFECT CT$ CT$ N1 N1 N1 N1 N2 N2 N2 N2 N3 N3 N3 N3 NOS 30 30 30 30 30 30 30 30 30 30 30 30 K1 K2 K3 K4 K1 K2 K3 K4 K1 K2 K3 K4 NSCT 4.31467 4.62867 5.77567 4.75167 5.30833 6.05467 7.09133 6.62633 4.77467 5.10867 6.04100 5.59367 NSTT 1.04729 1.08354 1.36170 1.21329 1.20732 1.21911 1.76717 1.25591 1.09056 1.18062 1.35625 1.19687 NSLT 2.15733 2.31433 2.88783 2.40917 2.85417 3.02733 3.44567 3.31317 2.28733 2.30433 3.02050 2.79683 SE(N= 30) 0.245598 0.388348E-01 0.659470E-01 5%LSD 348DF 0.683042 0.108005 0.183408 MEANS FOR EFFECT N$ N$ NOS 120 120 120 N1 N2 N3 NSCT 4.86767 6.27017 5.37950 NSTT 1.17645 1.36238 1.20607 NSLT 2.44216 3.16008 2.60225 SE(N= 120) 0.132015 0.242855E-01 0.412306E-01 5%LSD 357DF 0.367119 0.675354E-01 0.114658 MEANS FOR EFFECT K$ K$ NOS 90 90 90 90 K1 K2 K3 K4 NSCT 4.79922 5.26400 6.30267 5.65722 NSTT 1.11506 1.16109 1.49504 1.22202 NSLT 2.43294 2.54867 3.11800 2.83972 SE(N= 90) 0.153821 0.248827E-01 0.504010E-01 5%LSD 356DF 0.427763 0.691968E-01 0.140161 MEANS FOR EFFECT REP REP NOS 120 120 120 NSCT 5.13392 5.95958 5.42383 NSTT 1.28558 1.39425 1.06508 NSLT 2.54613 2.95896 2.69942 SE(N= 120) 0.138805 0.220928E-01 0.474523E-01 5%LSD 357DF 0.386001 0.614378E-01 0.131960 MEANS FOR EFFECT N$*K$ N$ N1 N1 N1 N1 N2 N2 N2 N2 N3 N3 K$ K1 K2 K3 K4 K1 K2 K3 K4 K1 K2 NOS 30 30 30 30 30 30 30 30 30 30 NSCT 4.31467 4.62867 5.77567 4.75167 5.30833 6.05467 7.09133 6.62633 4.77467 5.10867 NSTT 1.04729 1.08354 1.36170 1.21329 1.20732 1.21911 1.76717 1.25591 1.09056 1.18062 NSLT 2.15733 2.31433 2.88783 2.40917 2.85417 3.02733 3.44567 3.31317 2.28733 2.30433 77 N3 N3 K3 K4 30 30 6.04100 5.59367 1.35625 1.19687 3.02050 2.79683 SE(N= 30) 0.245598 0.388348E-01 0.659470E-01 5%LSD 348DF 0.683042 0.108005 0.183408 ANALYSIS OF VARIANCE SUMMARY TABLE FILE NSUAT 10/ 3/22 9:49 :PAGE F-PROBABLIITY VALUES FOR EACH EFFECT IN THE MODEL SECTION - VARIATE |N$*K$ | GRAND MEAN STANDARD (N= SD/MEAN | 360) DEVIATION C OF V |CT$ |N$ |K$ |REP | | | | | | | | | | | | | | | NO BASED ON BASED ON OBS TOTAL SS RESID SS % | | NSCT 0.0000 NSTT 0.0000 NSLT 0.0000 360 5.5058 1.5545 1.5205 27.6 0.0000 0.0000 0.0000 0.0002 360 1.2483 0.27758 0.24201 19.4 0.0000 0.0000 0.0000 0.0000 360 2.7348 0.54572 0.51981 19.0 0.0000 0.0000 0.0000 0.0000 78