8 research outputs found

    Avaliação de populações de milho de alta qualidade protéica

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    Twenty-three high quality protein maize populations, selected for hard-endosperm opaque-2 through modifiers of the opaque-2 gene, and two normal checks (BR 105 and AG 301), were evaluated at six Brazilian environments: Porto da Folha, SE (Summer), Porto da Folha, SE (Winter), Sete Lagoas, MG, Goiânia, GO, Nova Prata, RS and Cruz Alta, RS. The following traits were measured: ear weight (kg/ha), grain endosperm protein (%), tryptophan and lysine (% of endosperm protein). Opaque-2 white kernel high quality protein maize populations showed good adaptation to the different regions, high yields and tryptophan-lysine content similar to floury endosperm opaque-2 cultivars. A few yellow kernel populations showed good adaptation with high yields but need to be improved in tryptophan-lysine content.Vinte e três populações de milho de alta qualidade protéica, contendo o gene recessivo opaco-2 em homozigose, selecionadas para endosperma vítreo através de modificadores do gene opaco-2 e duas testemunhas de endosperma normal (BR 105 e AG 301), foram avaliadas em seis ambientes: Porto da Folha, SE (verão), Porto da Folha, SE (inverno), Sete Lagoas, MG, Goiânia, GO, Nova Prata, RS e Cruz Alta, RS. Os caracteres utilizados neste estudo foram: peso de espiga (kg/ha), proteína (%), triptofano, lisina (% na proteína do endosperma). Algumas populações opaco-2 brancas de endosperma vítreo adaptaram-se bem a diferentes regiões do País, apresentando alta produtividade e teores de lisina e triptofano na proteína do endosperma equivalente a tipos contendo o gene opaco-2 com endosperma farináceo. Algumas populações de cor de grãos amarelos mostraram boa produtividade, mas precisam ser melhoradas em seus teores de lisina e triptofano.

    Adaptability and stability evaluation of maize hybrids using Bayesian segmented regression models.

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    The occurrence of genotype by environment interaction (G x E), which is defined as the differential response of genotypes to environmental variation, is frequently reported in maize cultures, making it challenging to recommend cultivars. Methods allowing to study the potential nonlinear pattern of genotype responses to environmental variation allied to prior beliefs on unknown parameters are interesting to evaluate the phenotypic adaptability and stability of genotypes. In this context, the present study aimed to assess the adaptability and stability of maize hybrids, by using the Bayesian segmented regression model, and evaluate the efficacy of using informative and minimally informative prior distributions for the selection of cultivars. Randomized complete-block design experiments were carried out to study the yield (kg/ha) of 25 maize hybrids, in 22 different environments, in Northeastern Brazil. The Bayesian segmented regression model fitted using informative prior distributions presented lower credibility intervals and Deviance Criterium of Information values, compared to those obtained by fitting using minimally informative distributions. Therefore, the model using informative prior distributions was considered for the adaptability and stability evaluation of maize genotypes. Once most northeastern farmers in Brazil have limited capital, the genotype P4285HX should be considered for planting, due to its high yield performance and adaptability to unfavorable environments
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