Correlations between agronomic traits and path analysis for silage production in maize hybrids

Crevelari, Jocarla Ambrosim; Durães, Nayara Norrene Lacerda; Bendia, Laila Cecília Ramos; Vettorazzi, Júlio Cesar Fiorio; Entringer, Geovana Cremonini; Júnior, José Arantes Ferreira; Pereira, Messias Gonzaga

doi:10.1590/1678-4499.2016512

Cited by 16 publications

(16 citation statements)

References 19 publications

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“…Based on the path analysis, the traits of plant height, percentage of net yield, and cob weight became the supporting characters for yield. The positive direct effect of these traits has also been reported by Crevelari et al (2018) and Abduh et al (2021) for plant height, and Fadhli et al (2020) for cob weight. These three supporting characters can be combined and formulated into a selection index.…”

Section: Discussionsupporting

confidence: 71%

Integrated Corn Cultivation Technology Based on Morphology, Drone Imaging, and Participatory Plant Breeding

Farid¹,

DJUFRY²,

Yassi³

et al. 2022

SABRAOJBG

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The evaluation of a cultivation technology would be more efficient when the technology assessment is based on various approaches like conventional morphological approaches, the use of drone’s normalized difference vegetation index (NDVI) imaging, and participatory plant breeding (PPB). The recent study aimed to assess the effectiveness of the combination of morphological approaches, drone imaging, and participatory plant breeding in selecting the best corn cultivation technology package. This research conducted in a randomized complete block design (RCBD) with one factor from March to December 2021 at the Village Taroang, Takalar Regency, South Sulawesi, Indonesia. The factor is 40 cultivation technology packages. The treatments were replicated three times, thus having 120 experimental units. For plant participation, the investigations were conducted with 56 farmers on their corn fields through quantitative surveys in the targeted area. For NDVI, the observation was recorded 70 days after planting using a DJI Inspire two unmanned aerial vehicles equipped with a multi-spectral camera. Based on the results of the study, the combined strategy of different approaches like morpho-physiological, drone’s NDVI, and participatory plant breeding is found effective in evaluating the corn production technology. The yield, plant height, percentage of net yield, and cob weight were good selection criteria for the morphology approach in evaluating corn cultivation. The NDVI could be recommended in helping the morphology evaluation and PPB, especially in a large-scale evaluation. Based on a combined assessment of the different approaches, the maize cultivar Pioneer-27 combined with ‘Legowo’ spacing technology, NPK fertilizer ratio of 200:100:50, KNO3 at the rate of 25 kg, and application of biofertilizer 'Eco farming' @ 5 cc L-1, was recommended as the best corn production technology package in the Village Taroang, Takalar Regency, South Sulawesi, Indonesia.

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Section: Discussionsupporting

confidence: 71%

Integrated Corn Cultivation Technology Based on Morphology, Drone Imaging, and Participatory Plant Breeding

Farid¹,

DJUFRY²,

Yassi³

et al. 2022

SABRAOJBG

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“…The choice of EW as the basic variable was due to its high genetic correlation with grain yield, commonly evaluated in kilos or tons per hectare (Alves, Cargnelutti Filho, Burin, & Toebe, 2017; Crevelari et al., 2018), and due to the higher experimental precision in the evaluation of this trait, comparing to grain yield. A considerable amount of grain is lost at the time of mechanical threshing, and grain mixing between plots can occur as grains from a previous treatment may be left inside the threshing machine.…”

Section: Methodsmentioning

confidence: 99%

Dealing with multiple traits in maize: A new approach for selecting progenies

et al. 2020

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Many maize (Zea mays L.) breeding programs select genotypes considering just grain yield. However, this strategy may not be efficient due to undesirable associations between grain yield and other traits. The breeder's challenge is to combine good characteristics in one genotype. The aim of this study was to propose a new approach to select maize progenies considering multiple traits. One hundred forty‐one half‐sib progenies were evaluated for 14 agronomic traits in a 12 by 12 triple lattice design in two environments. Four progeny selection strategies were performed to increase yield. Strategy 1, considering just yield; Strategy 2, considering all traits in a selection index; Strategy 3, considering only traits that have effect in yield, based on path analysis; and Strategy 4, similar to Strategy 3, but disregarding any trait showing undesirable correlation with other traits. Strategies 2, 3, and 4 considered Smith and Hazel index. The progenies selected by Strategy 4 showed more balanced predicted gains considering all traits. Its predicted gain in all traits related to yield was higher than the of Strategies 2 and 3, and it led to smaller gains in height and flowering time, which breeders want to decrease its means. Strategy 1 showed the best gains in yield, as expected, but obtained undesirable phenotypes for the other traits. The use of path analysis to delineate the Smith and Hazel index is a very appealing approach for selecting maize progenies and the Strategy 4 was the most efficient at accomplishing balanced gains for multiple traits.

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“…Conforme foi confirmado por Crevelari et al (2018), quando se fala em correlações entre características de interesse agronômico, o rendimento da massa de forragem é uma variável considerada complexa que resulta da associação entre muitos caracteres. Do mesmo modo, o uso da análise de trilha facilita a seleção de caracteres que possam contribuir, de maneira indireta, para o aumento da massa de forragem.…”

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Análise De Trilha Para Seleção Indireta De Sorgo Forrageiro Com Base Nas Características Morfológicas Na Região Do Alto Sertão Sergipano

et al. 2022

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O sorgo (Sorghum L. moench) é uma poaceae com características morfofisiológicas que conferem adaptaçãoàs condições de deficiência hídrica, o que a torna uma alternativa promissora para o Alto Sertão Sergipano.Uma maneira de selecionar materiais promissores de sorgo no melhoramento é analisar as correlações entreas variáveis morfológicas. Assim, objetivou-se utilizar a análise de trilha para seleção indireta de sorgoforrageiro com base nas características morfológicas na região do Alto Sertão Sergipano. O experimento foiconduzido na fazenda experimental da Embrapa Semiárido, em Nossa Senhora da Glória (SE), comdelineamento experimental em blocos casualizados e três repetições. Foram utilizados 16 tratamentos, sendo quatro testemunhas comerciais e 12 híbridos experimentais, total de 48 parcelas. As variáveis estudadas foram altura de planta, diâmetro do colmo, comprimento da panícula, estande final, peso do colmo, peso da folha, peso da panícula, peso da planta, matéria fresca, matéria seca, porcentagem de matéria seca e massa de forragem. Houve variabilidade entre os genótipos, e correlações fenotípicas fortes e positivas do peso da planta com peso do colmo, diâmetro do colmo e massa de forragem de 0,99, 0,92 e 0,78, respectivamente. A análise de trilha mostrou que o peso da planta apresentou maior correlação positiva (0,798) e alto efeito direto sobre a massa de forragem (0,949). Assim, recomenda-se a seleção indireta de sorgo com base na característica fenotípica maior massa de forragem, por meio do maior peso de planta.

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Correlations between agronomic traits and path analysis for silage production in maize hybrids

Cited by 16 publications

References 19 publications

Integrated Corn Cultivation Technology Based on Morphology, Drone Imaging, and Participatory Plant Breeding

Integrated Corn Cultivation Technology Based on Morphology, Drone Imaging, and Participatory Plant Breeding

Dealing with multiple traits in maize: A new approach for selecting progenies

Análise De Trilha Para Seleção Indireta De Sorgo Forrageiro Com Base Nas Características Morfológicas Na Região Do Alto Sertão Sergipano

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