Correlation and path analysis for agronomic traits contributing to yield in 30 genotypes of soybean

Karyawati, Anna Satyana; Puspitaningrum, Eno Sinthia Vinky

doi:10.13057/biodiv/d220309

Cited by 9 publications

(4 citation statements)

References 22 publications

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“…Gayacharan et al [37] found a positive correlation with seed yield and seeds per pod in black gram. Karyawati and Puspitaningrum [38] got the similar result in lentil. Tiwari and Lavanya [39] found a significant and positive correlation between seed yield per plant and the number of seeds per pod.…”

Section: Seeds Per Podmentioning

confidence: 53%

Relationship of Quantitative Traits in Different Morphological Characters of Pea (Pisum Sativum L.)

Tasnim

Poly

Jahan

et al. 2022

J. Multidiscip. Appl. Nat. Sci.

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An experiment was undertaken to elucidate the genetic relationship between different quantitative traits for commercial cultivation and to evaluate selection criteria in pea breeding programs in five inbred parents. Their 17 F4’s derivatives in pea (Pisum sativum L.) evaluated ten characters during the winter season (November to February) of 2017-18 at the research farm, BSMRAU, Gazipur, Bangladesh. Analysis of variance explored significant differences among the genotypes for all the characters. Phenotypic coefficients of variation (PCV) were close to genotypic coefficients of variation (GCV) for all the characters indicating less influence on the environment and potentiality of selection. A high heritability relationship with high genetic advance was observed for plant height, pod per plant, hundred seed weight, and seed yield per plot. Pod length showed a highly significant positive correlation with pod width and hundred seeds weight. Only days to first flowering showed a highly negative correlation with pod length and hundred seed weight. Path coefficient analysis revealed that plant height, pod per plant, and seeds per pod had a highly positive effect on yield per plant. Therefore, associating and selecting those traits, yield improvement must be possible in pea, and the days to maturity, plant height, pods per plant, pod length, and seed showed a considerable positive and highly significant correlation with plant height, pod per plant, seed per pod, and yield per plant at both genotypic and phenotypic levels indicating yield could be increased with the increase of days to maturity, plant height, pods per plant, pod length, and seed.

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Section: Seeds Per Podmentioning

confidence: 53%

Relationship of Quantitative Traits in Different Morphological Characters of Pea (Pisum Sativum L.)

Tasnim

Poly

Jahan

et al. 2022

J. Multidiscip. Appl. Nat. Sci.

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“…The number of filled pods and seeds significantly affects seed yield per plant (Aondover et al 2013). These characters are strongly associated with increased crop yield per hectare (Karyawati and Puspitaningrum 2021).…”

Section: Resultsmentioning

confidence: 99%

“…The 100-seed weight affects the increase in the soybean harvest index (Hakim and Suyamto 2017). Karyawati and Puspitaningrum (2021) stated that seed yield is only directly correlated with the 100-seed weight and indirectly correlated with the number of pods filled and the number of seeds per plant. Berhanu et al (2021) reported that seed yield significantly correlated with the number of branches, nodes, seeds, and filled pods.…”

Section: Resultsmentioning

confidence: 99%

Characteristics contribution and similarity of F5 soybean lines resistant to cowpea mild mottle virus derived from different crossing

ZUBAIDAH,

KUSWANTORO,

UGE

et al. 2023

Biodiversitas

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Abstract. Zubaidah S, Kuswantoro H, Uge E, Rozana K, Purwantoro. 2023. Characteristics contribution and similarity of F5 soybean lines resistant to cowpea mild mottle virus derived from different crossing. Biodiversitas 24: 5399-5408. Virus is one of the pathogens that can infect soybeans. One of the crucial viruses is Cowpea Mild Mottle Virus (CpMMV), which attacks many soybean plants in Indonesia. The objective of this study was to explore the character's contribution and similarity to identify F5 CpMMV-resistant soybean lines. The plant materials were F5 CpMMV-resistant soybean lines from 26 different crosses. CpMMV inoculation was performed naturally by placing the experiment at the site previously infected with Bemisia tabaci as the CpMMV virus vector. Observations were made on agronomic characters and disease scores. The results showed that there was a variation in the observed agronomic characters, but disease scores were generally at a score of 2. Seed yield, number of filled pods, and number of seeds showed strong character contributions. Disease scores generally had the opposite direction to seed size. There was a significant correlation between agronomic characters, but disease scores had no correlation with agronomic characters. M and N crosses showed the highest seed yields. The disease score for these two crosses was 2. These two crosses also formed a separate group. There were four groups of crosses with different numbers of members. The groups formed were more influenced by the variability of the number of seeds, filled pods, and plant height. Based on seed yield and disease score, M and N crosses should be further developed to obtain high-yielding CpMMV-resistant soybean varieties.

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“…This agrees with previous studies by Alake et al [43] and Unigwe et al [44] . Among soybean plants, an indirect correlation is found between parameters of the number of branches, plant height, and fresh weight of seeds [45] . Maturity age is a parameter that affects the weight of dry pods [38] .…”

Section: Relationship Between Agronomic and Disease Traitsmentioning

confidence: 96%

Contribution of Agronomic and Rust Disease Intensity Traits to Yield Stability of Peanut Genotypes

Purnomo,

Kuswantoro,

Uge

et al. 2024

TCSAM

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The stability peanut pod yield is influenced by agronomic traits because pod yield depends on agronomic traits. This study identified stable peanut genotypes and investigated the role of agronomic and rust disease intensity variables in supporting the yield stability of a genotype. The research was conducted in four locations in East Java, Indonesia. The design used was a randomized block design (RCBD) with three replications. The research results show that G2 had the highest stability, followed by G9 and G4. G2 was suitable for the E1 and E3 environments. Dry pod yield (DYLD) was supported by fresh pod yield (FYLD), harvesting index (HVI), and 100-seed weight (W100). DYLD was negatively correlated with rust disease score at 60 and 105 days after planting (RST60 and RST105). The genotypes tested had two large groups of similarities, where the first group consisted of only two lines, G1 and G7. These two genotypes are presented together in E3 and E4. The contribution and correlation of agronomic traits varied among environments. The similarity of the genotypes in each environment also varied. The similarity of the genotypes was formed by the magnitude of the influence of different agronomic traits in each environment through their contribution and correlation. G2 had a yield of 4.2 t/ha with an RST60 of 1.67 and an RST105 of 3.67. DYLD of genotype G2 was supported by FYLD, HVI, and W100. The check variety of G9 had a DYLD of 3.87 t/ha, and RST60 and RST105 were 2.25 and 5.33, respectively. Therefore, genotype G2 has the opportunity to be released as a new superior variety of rust-resistant peanuts.

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Correlation and path analysis for agronomic traits contributing to yield in 30 genotypes of soybean

Cited by 9 publications

References 22 publications

Relationship of Quantitative Traits in Different Morphological Characters of Pea (Pisum Sativum L.)

Relationship of Quantitative Traits in Different Morphological Characters of Pea (Pisum Sativum L.)

Characteristics contribution and similarity of F5 soybean lines resistant to cowpea mild mottle virus derived from different crossing

Contribution of Agronomic and Rust Disease Intensity Traits to Yield Stability of Peanut Genotypes

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