RÉSUMÉ
The study was conducted to determine the stability of sorghum germplasm for grain yield as well as the amount and nature of genotype by environment interactions for grain yield in order to find and recommend stable high yielding variants. The trial was arranged in a randomized block design (RBD) in three replications. Germplasm were evaluated in 2 environments in Indore in 2019-2020 and 2020-2021 in main cropping seasons. 60 sorghum germplasm was evaluated under Thirteen morphological traits viz., Days to 50% flowering, Days to maturity, plant height (cm), Number of leaves per plant at the time of flowering, Leaf length of 4th leaf (cm), Leaf width of 4th leaf (cm), Panicle length (cm), Panicle width (cm), No. of Primary branches per panicle, No. of grains per primary branch, Grain yield/Plant (g), Leaf Area of 4th leaf (cm²), 100 seed weight (g) were recorded for 3 randomly selected plants for each germplasm per replication. Linear regression model for stability suggested by Eberhart and Russell was employed. Genotype x Environment interactions were found significantly in similar trend for the traits namely, days to 50% flowering, number of leaves per plant, leaf length of fourth leaf, leaf width of fourth leaf, panicle length, panicle width, number of primary branches per panicle, number of grains per primary branch, leaf area of the fourth leaf, grain yield per plant and 100 seed weight. It shows consistent results over years. Genotype x Environment interaction also revealed that the genotype SEB12025 found consistent for primary branches per panicle, grain yield. The germplasm E- 246 found suitable for seed weight, panicle width, Width of fourth leaf. Apart from POP-18, POP 27-1, EC-6, ERN-32, Gird-30, Gird 33-1, VKG 34/47, VKG 34/37, ER-15, EC- 16, ER-1, SEB 12025, E-207, ER-21, Gird-36, EGN-1, E-207, ER-3, Gird-41, E- 284,E-246, ER-3,Gird-41,Gird-5,ERN-32,GGUB-20, ELG-25,Sor 86,NCC-1,E-246 and ELG-31 no genotypes found consistent for any of the character. The characters which were found stable for a particular genotype should further be improved to develop stable and high-yielding genotypes for sustainable production. More locations and years could be taken to obtain a database about genotype x environment interaction to draw a more valid conclusion.
RÉSUMÉ
Present study was undertaken to estimate the magnitude of genotype × environment interaction (GEI) and to identify stability of improved and high-yielding varieties of Indian mustard (Brassica juncea L. Czerns & coss.). The 57 Indian mustard genotypes were evaluated in RBD along with three replications during Rabi crop seasons in three environments. Analysis of variance on 14 traits was carried out individually as well as pooled over environments. Yield stability was analysed employing Eberhart and Russell’s model [1] which revealed highly significant differences among genotypes and environments. Mean squares due to environment + genotype x environment interactions (E + G x E) indicated that genotypes interacted considerably with environmental conditions. Further, partitioning of E+G x E effects indicated that E (linear), G x E (linear) components were highly significant for grain yield. Genotypes RH-749, DRMR 1165-40 X RH-406, DRMR IJ-31 X RH-749 had high mean than general mean coupled with regression coefficient close to unity bi = 1 and S2di = 0 and are identified as most stable and desirable Indian mustard genotypes.
RÉSUMÉ
The genetic breeding of soybean aims to obtain productive genotypes, so it is necessary that the genetic components, environment and the interaction between them be understood. The G x E interaction is the differential behavior of the genotypes against environmental. The objective was to study the G x E interaction and analyze the adaptability and stability of soybean genotypes under natural rust infection without fungicide. The experiment was conducted in the Genetic Breeding Program of the Federal University of Uberlândia. Fourteen soybean genotypes were evaluated, with 10 lines developed by the UFU Program (UFUS1117: 01, 02, 03, 05, 06, 07, 08, 09, 10 and 11) and 4 cultivars: UFUS 7415, UFUS Riqueza, TMG 801 and BRSGO 7560 in four seasons: 2013/14, 2014/15, 2015/16 and 2016/17, in a randomized complete block design. The G x E interaction was complex and the H2 was 85.97% indicating superiority of genetic variation in relation to the environment. The average grain yield was 2284.13kg ha-1. The genotype UFUS 1117-01 was identified by Eberhart and Russel, Wricke, AMMI 2 and Centroid as being a highly productive stability genotype. The UFUS 1117-07 showed high stability by Eberhart and Russel, Wricke, Lin and Binns modified by Carneiro methods and wide adaptability by Eberhart and Russel and Centroid. The genotype UFUS 1117-09 was identified as being adaptable to unfavorable environments by the Lin and Binns modified by Carneiro and Centroid methods, and UFUS 1117-10 presented favorable environmental adaptability by the Centroid method and high stability by Eberhart and Russel.
O melhoramento genético da soja visa à obtenção de genótipos produtivos, então é necessário que os componentes genéticos, ambientais e a interação entre eles sejam compreendidos. A interação G x A é o comportamento diferencial dos genótipos frente às variações ambientais. O objetivo foi estudar a interação G x A e analisar a adaptabilidade e estabilidade produtiva de genótipos de soja sob infecção natural por ferrugem, sem fungicida. O experimento foi conduzido no Programa de Melhoramento Genético da UFU. Quatorze genótipos de soja foram avaliados, sendo 10 linhagens desenvolvidas pelo Programa de Melhoramento Genético de Soja da UFU (UFUS 1117-01, UFUS 1117-02, UFUS 1117-03, UFUS 1117-05, UFUS 1117-06, UFUS 1117-07, UFUS 1117-08, UFUS 1117-09, UFUS 1117-10 e UFUS 1117-11) e 4 cultivares ( UFUS 7415, UFUS Riqueza, TMG 801 e BRSGO 7560), em quatro safras: 2013/14, 2014/15, 2015/16 e 2016/17, em delineamento de blocos casualizados. A interação G x A foi significativa e complexa e o H2 foi de 85,97% indicando superioridade da variação genética em relação a ambiental. A média de produtividade de grãos foi 2284,13kg ha-1. O genótipo UFUS 1117-01 foi identificado pelas metodologias de Eberhart e Russel, Wricke, AMMI 2 e Centroide como sendo um genótipo de alta estabilidade produtiva. A linhagem UFUS 1117-07 apresentou alta estabilidade por Eberhart e Russel, Wricke, Lin e Bins modificado por Carneiro e ampla adaptabilidade por Eberhart e Russel e Centroide. O genótipo UFUS 1117-09 foi identificado como sendo adaptável a ambientes desfavoráveis por Lin e Bins modificado por Carneiros e Centroide, e UFUS 1117-10 apresentou adaptabilidade a ambiente favoráveis pelo método Centroide e alta estabilidade por Eberhart e Russel.
Sujet(s)
Glycine max , Production végétale , Rendement , Amélioration des plantes , GénotypeRÉSUMÉ
ABSTRACT Nitrogen is essential for sustaining life on the planet, and it is the most important nutrient for obtaining high agricultural production. However, their use leads to the release of nitrous oxide with a global warming potential 296 times higher than the CO2 molecule, making it a challenge to reduce their use in agriculture. The objective of this research was to identify efficient popcorn inbred lines and responsive nitrogen use and exhibit a good expansion volume. For this, 29 inbred lines from the Germplasm Collection of Darcy Ribeiro North Fluminense State University (UENF) were evaluated at two contrasting levels of nitrogen availability (low and ideal) at two representative locations in the north and northwest of the state of Rio de Janeiro, Brazil, arranged in a randomized block design with three replicates. These inbred lines were discriminated against efficient use of nitrogen by multivariate GGE Biplot. Selective accuracy was close to 1, showing that the genotypes were enough to provide contrasting success in selection procedures. The first two main components (PC) retained 93.82% of the total variation, and PC1 furnished an information ratio (IR) that was unaffected by noise. L77 was the most unstable line, while P7, P2, P6, P3, P5, P4, P9, P10, P8, P9, L70, L74, and L55 were efficient and responsive. The GGE biplot method is recommended for the reliable identification of popcorn lines that are efficient and responsive to the use of nitrogen.
RESUMO O nitrogênio é indispensável à manutenção da vida no planeta, sendo o mais importante nutriente para a obtenção de elevadas produções agrícolas. No entanto, a sua utilização ocasiona a liberação de óxido nitroso, com potencial de aquecimento global 296 vezes maior que a molécula de CO2, tornando-se um grande desafio a redução de seu uso na agricultura. O objetivo desta pesquisa foi identificar linhagens de milho-pipoca eficientes e responsivas no uso de nitrogênio e que apresentem um elevada capacidade de expansão. Para isto, avaliaram-se 29 linhagens da Coleção de Germoplasma da Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF) em dois níveis contrastantes de nitrogênio (baixo e ideal) em dois locais representativos do Norte e Noroeste do Estado do Rio de Janeiro, Brasil, arranjadas no delineamento em blocos casualizados com três repetições. Estas linhagens foram discriminadas em relação a eficiência no uso do nitrogênio pela técnica multivariada GGE Biplot. A acurácia seletiva foi próxima de 1, revelando que os genótipos foram suficientes contrastantes para proporcionar sucesso em procedimentos seletivos. Os dois primeiros componentes principais (CP) retiveram 93,82% da variação total, sendo que o CP1 expressou relação de informação (IR) não impactada por ruídos. L77 foi a linhagem mais instável, enquanto P7, P2, P6, P3, P5, P4, P9, P10, P8, P9, L70, L74 e L55 foram eficientes e responsivas. Recomenda-se o método GGE Biplot na identificação fidedigna de linhagens de milho-pipoca eficientes e responsivas ao uso do nitrogênio.