Abstract:The cultivation of soy has an economic importance for the Brazilian agricultural scenario. The aim of this study was to establish a network architecture for the classification of soybean genotypes, by means of morphological characters measured in the juvenile phase of the plant, and finally to compare the results obtained through Artificial Neural Network (ANN) and Anderson Discriminant Analysis. The study analyzed plants of 10 conventional cultivars in the initial stages of development (V1, V2 and V3 stages).… Show more
“…Soybean (Glycine max L. Merrill) is one important source of protein and vegetable oil in the world and it can be used for human and animal food (Gontijo et al, 2023;Paixão et al, 2023;Pradebon et al, 2023). The soy crop has one of the most successful historical programs and is the reason for changes in Brazilian agriculture regarding the professionalization and specialization of agriculture in some regions of Brazil, currently having the largest area and national production (Silva, Silva, Bezerra, & Sediyama, 2021).…”
Genetic improvement together with statistics has contributed to the growth of the importance of soybean in Brazil. One of the contributions has been the launching of new cultivars in the national market, which requires, in its legal procedures for registration and protection, the verification of several tests, one of them being the distinguishability test. Several studies have reported that some phenotypic characters are potential in this distinction, one of them is the length of the epicotyl. In this work, the objective was to identify soybean genotypes that present low or high average, highly stable throughout the analyzed environments and that present adaptability to different environments. Two groups of experiments were conducted in a greenhouse to measure the epicotyl length of soybean plants submitted to different environments (planting season). The data obtained were analyzed using the analysis of individual variance, analysis of joint variance, Scott-Knott test and adaptability and stability through the Artificial Neural Network and non-parametric test. It can be concluded that the genotypes that showed low average for epicotyl length, wide adaptability or poor responsiveness to environmental improvements and stable over the seasons were TMG 1175 RR (in V2), BMX Tornado RR (in V2), BG 4272 (in V2), BRS283 (in V2 and V3) and FT-Cristalina (in V2 and V3). BRSMG 752 S (in V2 and V3), TMG 4185 (in V3) and BRSGO 7560 (in V3) behaved as high medium, high stability and wide adaptability. The genotypes BRS 8381, TMG 4185, MG/BR46_Conquista, BRSMG 850 GRR, BRS Valiosa RR and BG 4277 were stable and recommended for favorable environments.
“…Soybean (Glycine max L. Merrill) is one important source of protein and vegetable oil in the world and it can be used for human and animal food (Gontijo et al, 2023;Paixão et al, 2023;Pradebon et al, 2023). The soy crop has one of the most successful historical programs and is the reason for changes in Brazilian agriculture regarding the professionalization and specialization of agriculture in some regions of Brazil, currently having the largest area and national production (Silva, Silva, Bezerra, & Sediyama, 2021).…”
Genetic improvement together with statistics has contributed to the growth of the importance of soybean in Brazil. One of the contributions has been the launching of new cultivars in the national market, which requires, in its legal procedures for registration and protection, the verification of several tests, one of them being the distinguishability test. Several studies have reported that some phenotypic characters are potential in this distinction, one of them is the length of the epicotyl. In this work, the objective was to identify soybean genotypes that present low or high average, highly stable throughout the analyzed environments and that present adaptability to different environments. Two groups of experiments were conducted in a greenhouse to measure the epicotyl length of soybean plants submitted to different environments (planting season). The data obtained were analyzed using the analysis of individual variance, analysis of joint variance, Scott-Knott test and adaptability and stability through the Artificial Neural Network and non-parametric test. It can be concluded that the genotypes that showed low average for epicotyl length, wide adaptability or poor responsiveness to environmental improvements and stable over the seasons were TMG 1175 RR (in V2), BMX Tornado RR (in V2), BG 4272 (in V2), BRS283 (in V2 and V3) and FT-Cristalina (in V2 and V3). BRSMG 752 S (in V2 and V3), TMG 4185 (in V3) and BRSGO 7560 (in V3) behaved as high medium, high stability and wide adaptability. The genotypes BRS 8381, TMG 4185, MG/BR46_Conquista, BRSMG 850 GRR, BRS Valiosa RR and BG 4277 were stable and recommended for favorable environments.
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