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Universitas Hasanuddin
Research output:Contribution to journal›Article›peer-review

Multivariate Analysis in Detecting the Selection Criteria for Rice Breeding Under a Direct Seeding System

Ali Z.

Sarhad Journal of Agriculture

Q4
Published: 2025Citations: 1

Abstract

IntroductionR ice (Oryza sativa L.), which supplies 19% of the calories worldwide, is consumed by approximately 90 percent of the world's population, particularly in Asia ( Jukanti et al., 2025).It plays a crucial role in global food security and livelihood, and is a rich source of amino acids and other components (Maganti et al., 2020).However climate change poses increasing threats to rice production Abstract | Rice is an essential energy source, consumed by about 90% of the world, especially in Asia.The objective of the present experiment was to study the different yields and related traits in rice under different establishment conditions and to identify the key traits that could be helpful in these conditions.The present experiment consisted of 26 genotypes under RCBD with three replications.This experiment used correlation, path analysis, and principal component analysis.Under both establishment conditions, grain yield per plant showed a significant positive correlation with plant height, panicle length, number of panicles, panicle weight, grain weight per panicle, number of grains per panicle, and spikelet fertility.In addition, under the transplanted conditions, grain yield per plant significantly correlated with flag leaf length and flag leaf area.In contrast, in dry direct seeding, it positively correlated with days to heading.Path analysis revealed that several traits directly affected grain yield at both genotypic and phenotypic levels.Additionally, some traits contributed indirectly and still significantly influenced grain yield.PCA grouped the genotypes into four major components, which accounted for most of the variation.This study revealed that, compared to transplanted rice, dry direct-seeded rice can be effectively used by leveraging the correlation and the direct and indirect effects of traits under direct-seeded conditions.Finding characteristics strongly linked with rice yield may help to create new rice varieties that are directly seeded and adapted.

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Selection (genetic algorithm)Sciences
AgronomySciences
Multivariate analysisSciences
BiologySciences
Multivariate statisticsSciences
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