ResumoA eliminação de descritores redundantes é de grande importância, pois minimiza os esforços na avaliação de genótipos sem perda na precisão de avaliação dos genótipos. Este trabalho teve como objetivo descartar caracteres que pouco contribuem para a discriminação de genótipos de jambu oriundos de diversos municípios do nordeste paraense. Os genótipos utilizados nesse estudo foram obtidos em hortas e feiras localizadas em cinco municípios: Capitão Poço, Castanhal, Ourém, Capanema e São Miguel do Guamá e, no total, foram avaliados 23 caracteres. As estimativas de correlação entre os descritores selecionados e descartados foram obtidas como medida da eficiência da análise de componentes principais, para descartar os descritores redundantes e não-discriminantes neste trabalho. Realizaram-se também as analises de variância de todas as características avaliadas dos genótipos individualmente. O peso seco do caule, número de ramos, diâmetro dos entrenós e o comprimento dos entrenós são características passiveis de descarte para este estudo. Palavras-Chave:Componentes principais, importância dos caracteres, melhoramento genético. IntroduçãoO jambu [Acmella oleracea (L.) R. K. Jansen] é uma hortaliça de largo uso na culinária paraense (GUSMÃO et al., 2009). Além disso, essa espécie possui propriedades medicinais atribuídas à substância espilantol, que atua como analgésico, hemostático, antimicrobiano, inseticida e fungicida, entre outros usos fitoterápicos (COUTINHO et al., 2006;TORRES; CHÁVES, 2001). Essas propriedades têm despertado o interesse de empresas, que geram pesquisas e patentes na obtenção de extratos de folhas e flores de jambu (COSTA, 2010), tanto que seu cultivo se difundiu também para a região sudeste do país (COUTINHO et al., 2006).
The potential expression of crop productivity is a constant challenge for plant breeders in the face of oscillations in environmental variables, making selection difficult and increasing the operational and methodological costs in obtaining the ideal cultivar for a determined region. The objective of the research was to investigate the effects of genotype x environment interaction in the selection of cowpea lines with high grain yield, adaptability, and genotypic stability simultaneously, in environments of the Northwest region of Rio de Janeiro State, using mixed models (Maximum Restricted Likelihood - REML/Best Linear Unbiased Prediction - BLUP). 27 cowpea genotypes were evaluated in six environments by combining location (Cambuci-RJ and Bom Jesus do Itabapoana-RJ) and year (2016, 2017 and 2018). A randomized block design with four replications was performed. The genetic parameters were estimated via the REML/BLUP procedure, and the selection was based on the harmonic mean method of the relative performance of the genetic values (HMRPGV). A meaningful difference was observed for environment and genotype x environment interaction. The residual variance and the variance of the genotype x environment interaction formed the most significant fractions of the phenotypic variance. Lines 4 (Bico-de-ouro 1-5-24), 6 (Pingo-de-Ouro 1-5-4), 5 (Pingo-de-Ouro 1-5-26), and 9 (Pingo-de-Ouro 1-5-8), stood out as superior in terms of stability and adaptability and grain yield by HMRPGV. Commercial cultivars 13 (BRS-Tumucumaque) and 26 (BRS-Itaim) had high grain yield, adaptability, and specific stability in the evaluated edaphoclimatic conditions.
The objective of this work was to analyze the association between agro-morphological traits of the common bean cultivar "BRS Esplendor" under organic fertilization management. The experiment was implemented in the field, in a randomized block design, with three replications, in a split plot scheme, with two types of organic compounds (grass enriched with cattle manure and bean straw enriched with cattle manure) applied in six doses (0.0, 33.32, 66.65, 100.00, 133.32 and 166.65%). The control treatment comprised the recommended mineral fertilization. The characteristics include total number of pods, plant height and pod lengths are determinant to directly increase grain yield. The indirect determinant includes total weight of pods, total number of grains, plant height, root length and length of pods that had a positive effect with high magnitude on the characteristic total number of pods.
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