Correlation Analysis of Agronomic Characters and Grain Yield of Rice for Tidal Swamp Areas

Hairmansis, Aris; Kustianto, Bambang; Suwarno, Suwarno

doi:10.21082/ijas.v11n1.2010.p11-15

Cited by 41 publications

(30 citation statements)

References 3 publications

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“…This indicated that these traits were mainly controlled by genetic factors, while the environmental factors play minor role in the explanation of these traits. Similar results were recorded previously by Cruz et al (2008), Hairmansis et al, (2010), Abarshahr et al, (2011), Sohrabi et al, (2012, Vanisree et al, (2013) and Premkumar et al, (2016).…”

Section: Genotypic and Phenotypic Correlationsupporting

confidence: 92%

Genetic Variability Study of some Rice Genotypes (Oryza sativa L.) for Morphological, Yield and Grain Quality Traits

El-Hadi

El-Maksoud

El-Abd

et al. 2017

Journal of Agricultural Chemistry and Biotechnology

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The present investigation aimed to study the genetic diversity among some genotypes of rice in two rice successive seasons 2014 and 2015 at the experimental farm of Sakha research station. Thus, genotypic coefficient of variance (GCV), phenotypic coefficient of variance (PCV), heritability in broad sense (h 2 ) and genetic advance (GA) were determined for all the studied traits. In addition, the nature and magnitude of genetic divergence estimated in 24 rice genotypes using Mahalanobis D 2 -statistics by considering 17 quantitative traits. High estimates of GCV and PCV were recorded for panicle excretion%, gelatinization temperature, grain elongation% and amylose content%. Heritability in broad sense was high for all characters under study. High heritability coupled with high genetic advance were recorded for number of filled grains/panicle and plant height traits. Based on genetic distance, the 24 studied genotypes were grouped into 11 clusters. Cluster III was the largest and consisted of five genotypes, followed by cluster X with four genotypes, while clusters VI and XI contained two genotypes for each one. However, clusters I, V, VII, VIII and IX included one genotypes for each one. The highest inter clusters distance (102.605) was between cluster V and XI while, the lowest one was found between cluster II and X (22.017). Principal component analysis revealed that seven quantitative traits (grain length, grain shape, plant height, amylose content%, 1000-grain weight, number of panicles/plant and panicle length) were significantly influenced the variation in these genotypes. Therefore, the present investigation determined the genetic variability in some genotypes that could be used to improve the rice breeding programme with respect studied traits.

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Section: Genotypic and Phenotypic Correlationsupporting

confidence: 92%

Genetic Variability Study of some Rice Genotypes (Oryza sativa L.) for Morphological, Yield and Grain Quality Traits

El-Hadi

El-Maksoud

El-Abd

et al. 2017

Journal of Agricultural Chemistry and Biotechnology

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“…Ullah et al (2011) detected that grain yield was positively and significantly associated with panicle length and grains per panicle. Hairmansis et al (2010) also recorded a positive and significant association of grain yield with filled grains per panicle, spikelets per panicle and spikelet fertility.…”

Section: Introductionmentioning

confidence: 87%

Genetic variation and heritability of yield and related traits in promising rice genotypes (Oryza sativa L.)

Ogunbayo¹,

Ojo²,

Sanni³

et al. 2014

J. Plant Breed. Crop Sci.

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A study was conducted during 2008 to 2009 in 12 environments in Nigeria, Benin Republic and Togo to evaluate genetic variation and heritability of yield and related traits in 48 rice genotypes. The experiments were laid out in a randomized complete block design (RCBD) with three replications. Genotypes differed significantly at p > 0.001 for all the traits studied, which implies that the genotypes contain adequate genetic variability. Phenotypic coefficients of variation (PCV) were higher than genotypic coefficients of variation (GCV) in all the characters across the 12 environments. High heritability estimates were obtained for days to flowering (91.37), days to maturity (86.86), plant height at maturity, number of tiller per meter square, panicle shattering, panicle threshability, panicle per meter and panicle length (72.21) suggesting that the traits are primarily under genetic control. High estimates of heritability, GCV and genetic advance (GA) observed for grain yield is an indication that selection for grain yield could be achieved through phenotypic performance. Furthermore, high estimates of heritability, GA and GCV recorded in these characters could be explained by additive gene action. Low estimates of heritability, GCV and GA recorded for grain yield and number of grains per panicle could be due to non-additive gene effect suggesting that these traits were less responsive to specific environment influences. Grain yield recorded highly significant positive correlation with panicle length (0.28), leaf width (0.40), grain length (0.30), number of panicles per meter square (0.19) and1000-grain weight (0.17). It correlated negatively with basal leaf sheath coloration (-0.33) and grain width (-0.20) in the 12 environments. The current study indicated that more number of tillers, panicles per meter square, long panicles, high number of primary and secondary branch panicles and large 1000-grain weight are important yield related traits and could be used for selection in rice breeding programs.

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“…Grain yield is a complex trait and highly dependent on the other agronomic characters (Hairmansis et al, 2010). All possible correlations among the different characters for each location were measured (Table 5).…”

Section: Correlation and Path Analysismentioning

confidence: 99%

Performance of Promising Hybrid Rice in Two Different Elevations of Irrigated Lowland in Indonesia

Widyastuti

Satoto²,

Rumanti³

2015

Agrivita.J.Agr.Sci

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The hybrid rice program has been established since early 1990's at the Indonesia Center for Rice Research (ICRR). Twenty-four experimental hybrid rice varieties which have been developed were tested in lowland rice fields in Sukamandi (West Java) and Batang (Central Java) during the dry season and the rainy season of 2012. Randomized complete block design (RCBD) with three replications was used in each location. The results showed that grains yields were affected by locations, seasons, and genotypes. The genotypes x locations x seasons interaction effect was significant; therefore, the best hybrid was different for each location and season. A7/PK36 hybrid has the best performance in Batang during the dry season, while A7/PK40 and A7/PK32 are the best hybrids in the rainy season. In Sukamandi, nine hybrids were identified as better yielder than that of the check cultivar in the dry season, but not so in the rainy season. Using the correlation and path analysis, we found that the number of panicles per hill and the number of filled grains per panicle could be used as selection criteria for yield in hybrid rice.

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Correlation Analysis of Agronomic Characters and Grain Yield of Rice for Tidal Swamp Areas

Cited by 41 publications

References 3 publications

Genetic Variability Study of some Rice Genotypes (Oryza sativa L.) for Morphological, Yield and Grain Quality Traits

Genetic Variability Study of some Rice Genotypes (Oryza sativa L.) for Morphological, Yield and Grain Quality Traits

Genetic variation and heritability of yield and related traits in promising rice genotypes (Oryza sativa L.)

Performance of Promising Hybrid Rice in Two Different Elevations of Irrigated Lowland in Indonesia

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