Path coefficient analysis of yield and its components in pigeonpea

Musaana, M S; Nahdy, M. Silim

doi:10.4314/acsj.v6i2.27810

Cited by 11 publications

(15 citation statements)

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“…Positive and significant association existed with total number of grains (0.912) and spikelet fertility (0.657) and positive and non-significant inter correlation expressed with 1000 grains weight (0.040) for number of filled grains. This was in accordance with the earlier findings of Ahmed Mustafa and Yassir elsheikh (2007). Total number of grains per panicle showed positive and significant association with spikelet fertility and positive non-significant association with 1000 grains weight.…”

Section: F 2 Generation -Crosssupporting

confidence: 82%

Inter – Relationship and Path Analysis in F2 Generation of Rice (Oryza sativa L.) under Submergence

Muthuvijayaragavan¹,

Murugan²

2017

Int.J.Curr.Microbiol.App.Sci

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Section: F 2 Generation -Crosssupporting

confidence: 82%

Inter – Relationship and Path Analysis in F2 Generation of Rice (Oryza sativa L.) under Submergence

Muthuvijayaragavan¹,

Murugan²

2017

Int.J.Curr.Microbiol.App.Sci

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“…of tillers plant -1 , 1000 grain weight, relative water content, maximum root length, flag leaf area, whereas moderate negative direct effect was exhibited by harvest index, chlorophyll content, proline accumulation in leaves, peroxidase activity in leaves. These results were consistent with the findings of Agahi et al (2007); Nagaraju et al (2013) for grains per panicle, panicle plant -1 and 1000-grain weight, Mustafa and Elsheikh (2007) and Patel et al (2014) for days to 50% flowering, Petchiammal and Kumar (2007) for panicle length, Ullah et al 2011for chlorophyll content. Hence, selection based on these characters would be more effective for yield improvement in rice under aerobic and normal condition.…”

Section: Resultssupporting

confidence: 89%

Path Coefficient Analysis of Yield Components of Rice under Normal and Aerobic Conditions

Chandra¹,

Genetics²,

Nilanjaya³

2017

IJBSM

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Selection for yield parameters is often difficult in crop breeding because yield is a complex inherited character controlled polygenically, contributed by several component traits. Twenty five genotypes of rice were evaluated under aerobic and normal conditions to study the path coefficient analysis based on fifteen morpho-physiological traits. Path analysis revealed at genotypic level that under aerobic and normal condition traits like days to 50% flowering (0.487), no. of spikelets panicle-1 (0.572), number of tillers plant-1 (0.688), relative water content in flag leaf (0.98) and maximum root length (0.832, 1.18) had highest positive direct effect whereas, proline accumulation in leaves(-0.31) had high negative direct effect under normal condition and these important plant traits must be taken into consideration when further breeding program for higher yield in rice under aerobic and normal conditions is to be planned. Characters like days to fifty percent flowering, relative water content, maximum root length and proline were noticed to exert high direct effects on grain yield plant-1. Panicle length showed positive association with number of spikelets panicle-1 , 1000 grain weight and grain yield per plot, whereas it showed negative correlation with proline accumulation in leaves under both conditions. Hence, these traits may be helpful in selection of suitable parents for future breeding programmes. Grain yield per plot showed negative and non-significant association with days to fifty per cent flowering under control condition indicating early maturing genotypes should be preferred under water limited condition. It indicated that earliness enabled the cultivars to escape drought at the end of the growing season under water stress condition. High indirect effects of most of the traits were noticed mostly through panicle characters indicating importance of the trait as selection criteria in crop yield improvement programs.

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“…But negative and non significant relationship with plant height, panicle length and flag leaf area. Similar findings were reported by Rangare et al, (2012) for harvest index and biological yield per plant; Sarawgi et al, (2014), Mustafa and Elsheikh (2007) for panicle length; Dhurai et al, (2016) for plant height, flag leaf area and panicle length. Basavaraja et al, (2011) reported that productive tillers per plant showed significant positive correlation with grain yield.…”

Section: Genotypic and Phenotypic Correlation Coefficientsupporting

confidence: 89%

Genetic Studies of Yield Variation and Association Analysis in Rice (O. sativa L.) Genotype

Singh¹,

Chaudhari²

2019

Int.J.Curr.Microbiol.App.Sci

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Path coefficient analysis of yield and its components in pigeonpea

Cited by 11 publications

References 0 publications

Inter – Relationship and Path Analysis in F2 Generation of Rice (Oryza sativa L.) under Submergence

Inter – Relationship and Path Analysis in F2 Generation of Rice (Oryza sativa L.) under Submergence

Path Coefficient Analysis of Yield Components of Rice under Normal and Aerobic Conditions

Genetic Studies of Yield Variation and Association Analysis in Rice (O. sativa L.) Genotype

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