Contribution of morphological traits for grain yield in common bean

Abstract

In Brazil, the common bean crop has representative agricultural exploitation, not only because of its production economic value, but also because there is a large cultivation area. This research aimed to investigate the direct and indirect relationship of morphological components on grain yield in common bean plants. This study was carried out in a Quartzarenic Neosol in the municipality of Cassilândia, Mato Grosso do Sul State, Brazil, in the agricultural year of 2016/2017. The evaluated traits were: grains yield (GY) with its primary components; mass of one hundred grains (HG); number of grains per plant (GP); number of grains per pod (GPP); dry weight of aerial parts (DWA); number of pod per plant (PP); plant dry mass (DM); plant high (PH); and stem diameter (SD). Initially, the Pearson's correlation among these traits was estimated and the correlation network was used to graphically express the obtained results. Analysis of these data through the statistical techniques of multicollinearity diagnosis followed by path analysis enabled to verify that the number of pod per plant, the mass of one hundred grains, and the number of grains per plant, among the primary components of grain yield, are the traits of greater potential to select and identify superior genotypes for grain productivity yield, and that dry matter and stem diameter traits showed a negative correlation with grain yield in common bean grains.

Contribution of Soil Attributes and Morphological Variables to Yield of Irrigated Garlic

“…Figure 3 expresses the network of Pearson's correlations among morphological variables. The efficiency of such innovative technique to relate many variables has already been highlighted in the literature by Silva et al (2017a, b), Oliveira et al, (2018), andOliveira et al, (2019).…”

“…Determination coefficients above 0.70 are considered high. Authors such as Silva et al, 2017b, Teodoro et al, 2015, Oliveira et al, 2018, and Oliveira et al, 2020 have also found coefficients of determination higher than 0.70. 5.…”

“…Path analysis has been used by many authors in several crops with economic importance, such as cotton (Farias et al, 2016), sorghum (Silva et al, 2017a), sugarcane (Silva et al, 2017b), soybeans (Teodoro et al, 2015), beans (Oliveira et al, 2018), and garlic (Oliveira et al, 2020). This study aimed to investigate relationships between the soil attributes that most affect garlic yield, which can be useful to choose a new area for the growing of this vegetable.…”

Relação entre índice de colheita do milho e eficiências de fósforo por meio de análise de trilha

“…O coeficiente de correlação de Pearson é uma ferramenta bastante utilizada para expressar, por meio de um valor puro, a associação entre duas variáveis quantitativas. Entretanto, essa medida é insuficiente para explicar uma relação de causa e efeito (Blind et al, 2018), uma vez que outras podem estar interferindo nessa relação (Oliveira et al, 2018;Sari et al, 2018), conduzindo o pesquisador a conclusões errôneas pela obtenção de valores superestimados.…”

Efeito da frequência de irrigação e fósforo nas características biométricas do milho

“…Autores como Oliveira et al, 2018e Oliveira et al, 2020a, estudaram características biométricas de culturas agrícolas e destacam a sua importância para entendimento do comportamento da planta em função do manejo implementado na cultura, seja ele hídrico ou nutricional. De acordo com Soares et al (2017), fatores como a disponibilidade hídrica, ciclo da cultura, espaçamento, época de semeadura, boas condições nutricionais e uma população entre 30.000 e 90.000 plantas ha -1 , são essenciais para que a cultura do milho atinja seu potencial máximo de produção.…”