Character interrelationships and path coefficient analysis for oil yield in the oil palm

1995 ◽  
Vol 127 (1) ◽  
pp. 157-162 ◽  
Author(s):  
C. D. ATAGA
2021 ◽  
Vol 50 (3) ◽  
pp. 699-709
Author(s):  
AYE MYINT KHIN ◽  
MOHD DIN AMIRUDDIN ◽  
MOHD Y. RAFII ◽  
MOHD YUSOFF ABD SAMAD ◽  
SHAIRUL IZAN RAMLEE ◽  
...  

Phenotypic associations among yield-related traits and the pattern of influence in crops are useful in evaluating, planning and selection criteria for the desirable traits. This research aimed to evaluate linear correlations and estimate the direct and indirect effects among morphological traits on oil yield of MPOB-Senegal germplasm. Data were collected annually for successive eight years (2000 to 2007) and was estimated for the phenotypic correlations, and decomposition into direct and indirect effects using path coefficient analysis. The result of the correlation and path coefficient analysis showed significant highly positive relations between some yield components and oil yield. Oil to wet mesocarp (OTWM) and bunch number (BNO) had high positive direct effect on oil yield while fresh fruit bunch (FFB), oil to fiber (OTF), fruit to bunch (FTB), and average bunch weight (ABWT) showed indirect effect on oil yield. In improvement of palm oil yield, traits that show high direct and/or indirect effect on oil yield should be considered. Hence, FFB, OTF, FTB, OTWM, and ABWT have maximum direct and indirect effect can be used effectively for the improvement of the palm oil yield of the MPOB-Senegal oil palm germplasm.


Author(s):  
M.K. Nagappa ◽  
N. Emmanuel ◽  
M. Lakshminarayana Reddy ◽  
A.V.D. Dorajeerao

2018 ◽  
Vol 12 (1) ◽  
pp. 195-206
Author(s):  
P Balakrishna ◽  
Rajasekhar Pinnamaneni ◽  
KV Pavani ◽  
RK Mathur

Author(s):  
Vijay Pratap ◽  
Vijay Sharma ◽  
Kamaluddin . ◽  
Gaurav Shukla

Background: Assessment of genetic variability and inter-relationship between the characters can be used in the breeding programme to evolve new varieties with wide genetic diversity to maximize the yield potential in crop improvement programmes. Eighty-four field pea genotypes were evaluated in an augmented block design for thirteen quantitative traits to study variance components, heritability, genetic advance and inter-relationship between the yield and yield contributing traits. Methods: The extent of phenotypic and genotypic variation that exist in a character was calculated by the formula suggested by Burton and de Vane (1953). Heritability in broad sense and genetic advance as per cent of mean for each character was computed using the formula suggested by Hanson et al. (1956) and Johnson et al. (1955), respectively. Correlation coefficient was calculated by method suggested by Searle (1961) and path coefficient analysis done as per method of Wright (1921) and elaborated by Dewey and Lu (1959).Result: Significant differences observed among the genotypes tested for the yield characters indicated the presence of variability. High heritability coupled with high genetic advance as percent of mean was observed for the traits viz., plant height, effective pods plant-1, harvest index and seed yield plant-1 were governed by additive gene effects which will aid in effective selection. Correlation coefficient analysis revealed that seed yield plant-1 had highly significant and positive correlation with biological yield plant-1, effective pods plant-1, harvest index, seeds pods-1 and effective nodes plant-1, indicating that these traits are strongly associated with seed yield in field pea. Path coefficient analysis identified biological yield plant-1 followed by harvest index, seed pod-1, effective nodes plant-1, 100-seed weight and day to 50% flowering as highly desirable components with great direct effects on seed yield. 


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