Correlation and Path Coefficient Analysis of Marketable Leaf Yield in Fluted Pumpkin (Telfairia Occidentalis) across Two Locations = معامل تحليل الارتباط والمسار لعائد المحصول التسويقي الورقي لنبات اليقطين المخزر (Telfairia Occidentalis) وذلك من خلال موقعين

2016 ◽  
Vol 12 (4) ◽  
pp. 1063-1073
Author(s):  
Fayeun L. S. ◽  
A. C. Odiyi
Keyword(s):  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Fluted Pumpkin ◽  
Telfairia Occidentalis ◽  
Leaf Yield

scholarly journals Leaf and Fruit Yield Performance of Telfairia occidentalis Hook F. (Fluted Pumpkin) as Influenced by Fruit Size

2014 ◽  
Vol 6 (4) ◽  
pp. 509-514 ◽  
Author(s):  
Uchechukwu Paschal CHUKWUDI ◽  
Christian Ugwu AGBO
Keyword(s):  
Block Design ◽  
Fruit Size ◽  
Fruit Weight ◽  
Fruit Yield ◽  
Cost Ratio ◽  
Environment Interaction ◽  
Yield Data ◽  
Fluted Pumpkin ◽  
Telfairia Occidentalis ◽  
Leaf Yield

An experiment to ascertain the influence of fruit size on the yield of fluted pumpkin (Telfairia occidentalis Hook F.) was conducted in 2011 and 2012 at Nsukka. The mature fruits of T. occidentalis were graded into three length groups: large (more than 50 cm), medium (34-50 cm) and small (less than 34 cm). The experiment was laid out in randomized complete block design with six replications. The following data were collected: length of the longest vine, number of leaves/plant, vine diameter, marketable leaf and fruit yield. Data collected were subjected to analysis of variance while Genotype by Genotype x Environment interaction biplot was used to show which-won-where among the groups. Significant means were separated using Fisher’s least significant differences. Medium sized fruits gave the highest marketable leaf yield that was significantly higher than the small sized fruits in both years. Small sized fruits were significantly (p<0.05) lower in total leaf yield, fruit weight/hectare, fruit circumference (33.9 cm) and length (22 cm). The biplot explained 100% of the variation in the fruit sizes. Large sized fruits were the best performer in fruit length, while medium sized fruits performed better in total marketable leaf yield, average fruit weight, number of fruits/hectare and total fruit weight/hectare. The highest Benefit Cost Ratio of 1.2 and 2.6 in 2011 and 2012, respectively were obtained from medium sized fruits Medium sized fruit are recommended in favour of small sized fruit for leaf and fruit production, having higher economic returns.

scholarly journals Analysis of Leaf Yield Components in Fluted Pumpkin (Telfairia occidentalis Hook F.) Grown in Derived Savannah Agro-ecology

2017 ◽  
Vol 9 (3) ◽  
pp. 386-391
Author(s):  
Uchechukwu Paschal CHUKWUDI ◽  
Christian U. AGBO ◽  
Chikezie O. ENE ◽  
Charles U. UBA ◽  
Jacob I. ENYI
Keyword(s):  
Block Design ◽  
High Yield ◽  
Path Coefficient ◽  
Positive Effects ◽  
Telfairia Occidentalis ◽  
Leaf Yield ◽  
Randomized Complete Block Design ◽  
Number Of Leaves ◽  
Selected Traits ◽  
The Relationship

High yield has become one of the major objectives of breeders and growers over the recent decades. Eighteen accessions of Telfairia occidentalis were studied in a randomized complete block design experiment replicated three times to determine the relationship among selected traits and their contribution to leaf yield. The following yield traits were studied: length of the longest vine (LLV), number of leaves plant-1 (LP), number of leaves per 40 cm of vine length (LVL), number of vines (NOV), length of the central leaflet (LCL), width of the central leaflet (WCL), vine diameter (VD) and leaf yield by weight. The correlation coefficient was estimated and the values partitioned to show the direct and indirect effects to yield using path coefficient analysis. LP showed the highest positive and significant correlation (r=0.72**) with leaf yield. WCL and LP had the highest direct positive effects on leaf yield. The study revealed that increased number of wide leaves plant-1 with long and higher number of branches will increase the leaf yield of T. occidentalis.

Assessment of Genetic Variability and Relationship between Different Quantitative Traits in Field Pea (Pisum sativum var. arvense) Germplasm

2021 ◽  
Author(s):  
Vijay Pratap ◽  
Vijay Sharma ◽  
Kamaluddin . ◽  
Gaurav Shukla
Keyword(s):  
Genetic Variability ◽  
Correlation Coefficient ◽  
Seed Yield ◽  
Harvest Index ◽  
Quantitative Traits ◽  
Field Pea ◽  
Path Coefficient ◽  
Genetic Advance ◽  
Path Coefficient Analysis ◽  
Biological Yield

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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