Comportamento agronômico e qualidade culinária de feijão-caupi no Vale do São Francisco

Santos, C. A. F.; Barros, G.; Santos, Ierla Carla Cn dos; Ferraz, Michel G de S

doi:10.1590/s0102-05362008000300023

Cited by 18 publications

(20 citation statements)

References 4 publications

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“…In this situation, there are different rankings between genotypes in different environments. The predominance of the complex component of the G x E interaction in cowpea was also found by Santos et al (2008), Valadares et al (2010), Passos et al (2011), Barros et al (2013), Teodoro et al (2015a) and Santos et al (2016).…”

Section: Resultssupporting

confidence: 55%

“…The interaction G x E in cowpea has been commonly observed in elite line trials in several Brazilian states (SANTOS et al, 2008;VALADARES et al, 2010;BARROS et al, 2013;SANTOS et al, 2016).…”

Section: Resultsmentioning

confidence: 96%

“…The interaction G x E has a role in the phenotypic manifestation and may hinder the work of the breeder in recommending cultivars or in the selective process (NUNES et al, 2011). There are many published studies on the G x E interaction of cowpea, regarding various regions of the country and the various growth habits of the plant, whether erect, semi-erect, semi-prostrate or prostrate, for green grains and dry grains (SANTOS et al, 2008;PASSOS et al, 2011;BARROS et al, 2013;TEODORO et al, 2015a;SANTOS et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…These include the more traditional ones, to those based on analysis of variance, linear regression, non-linear regression and segmented regression (SANTOS et al, 2008), well as more recent approaches, such as the multivariate analyses, AMMI and GGE Biplot (BARROS et al, 2013), and neural networks (TEODORO et al, 2015b).…”

Section: Introductionmentioning

confidence: 99%

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Genotype by Environment Interaction in Green Cowpea Analyzed via Mixed Models

et al. 2017

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-The restricted maximum likelihood/best linear unbiased prediction (REML/BLUP) mixed model method has been used to study the effects of genotype by environment interaction (G x E) in various crops including cowpea. This work aimed to analyze the G x E interaction via mixed models to identify cowpea genotypes that meet high adaptability, stability and productivity of pods and green grains when grown under Mossoró, Rio Grande do Norte State conditions. Crop value and use were evaluated in two growing seasons, using randomized complete blocks design with 23 genotypes and four replications. The genetic parameters were estimated by the REML/BLUP procedure and selection was based on the harmonic mean of the relative performance of genetic values (HMRPGV). Agreement between the HMGV, relative performance of genotypic values (RPGV) and HMRPGV statistics, provided genotype discrimination. Furthermore, the HMRPGV results enabled the simultaneous selection of superior genotypes for productivity, adaptability and stability. For the productivities of pods and green grains, the most notable genotypes were the cultivars BRS Xiquexique and BRS Aracê, and the line MNC05-835B-15, which showed a high productivity of grains, adaptability and stability, and could be grown in the two growing seasons considered in the study.Keywords: Adaptability. BLUP/REML. Stability. Vigna unguiculata. INTERAÇÃO GENÓTIPOS x AMBIENTES EM GENÓTIPOS DE FEIJÃO-CAUPI VERDE ANALISADA VIA MODELOS MISTOSRESUMO -A metodologia de modelos mistos REML/BLUP tem sido empregada para estudar os efeitos da interação genótipos x ambientes (G x E) em várias culturas, inclusive em feijão-caupi. O objetivo deste trabalho foi analisar a interação genótipos por ambientes em feijão-caupi via modelos mistos e identificar genótipos que reúnam alta adaptabilidade, estabilidade e produtividade de vagens e grãos verdes nas condições de Mossoró, RN. Os genótipos foram avaliados em ensaios de valor de cultivo e uso conduzidos em duas épocas de cultivo, sob delineamento experimental de blocos completos casualizados, com 23 genótipos e quatro repetições. Os parâmetros genéticos foram estimados via procedimento REML/BLUP, e a seleção baseou-se no método da média harmônica do desempenho relativo dos valores genéticos (MHPRVG). Houve concordância entre as estatísticas MHVG, PRVG e MHPRVG na discriminação dos genótipos, sendo que esta última possibilitou a seleção simultânea de genótipos superiores em produtividade, adaptabilidade e estabilidade. Para as produtividades de vagens e grãos verdes os genótipos de maior destaque foram as cultivares BRS Xiquexique, BRS Aracê e a linhagem MNC05-835B-15 que reuniram alta produtividade de grãos, adaptabilidade e estabilidade, podendo ser cultivados nas duas épocas de cultivo consideradas no estudo. Palavras-chave:Adaptabilidade. BLUP/REML. Estabilidade. Vigna unguiculata.

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Section: Resultssupporting

confidence: 55%

Section: Resultsmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Genotype by Environment Interaction in Green Cowpea Analyzed via Mixed Models

et al. 2017

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“…As was observed in Limoeiro, some lines may exceed 3000 kg ha −1 under appropriate technology conditions. This result corroborated those reported by Santos et al (2008). The Dormentes environment presented the highest mean Fe concentration in the SCH experiment.…”

Section: Assessing the Environments For Grain Yield And For Iron And supporting

confidence: 92%

Adaptability and Stability Parameters of Iron and Zinc Concentrations and Grain Yield in Cowpea Lines in the Brazilian Semiarid Region

Silva

Santos

2017

Crop Science

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The biofortification of cowpea [Vigna unguiculata (L.) Walp.] lines will have great impact in semiarid regions, since the crop provides a rich source of food, especially of iron and zinc. The aim of the current study was to assess the adaptability and stability of iron and zinc concentrations and grain yield in cowpea lines to release new cultivars. Forty‐four genotypes were distributed in two experiments, climbing and upright lines, with different population densities. They were assessed in four rainfed and three irrigated environments in two randomized block designs with three repetitions. Significant statistical differences were observed (p< 0.01) in the treatment, environment, and treatment × environment interaction mean squares for all variables. The lines that showed the highest iron and zinc concentrations also showed grain yields below the overall mean in both experiments. The three applied methods showed similar results in the selection of superior materials. C4I and T16_2R in the climbing experiment and C2J in the upright experiment showed grain yield equal to or greater than the overall experiment means of 1034 and 1130 kg ha−1, respectively, with iron and zinc means concentrations 15% greater than the control cultivars, as well as wide adaptability and stability in the assessed environment. These lines could be released as new cultivars.

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