Weather Factors Affecting the Response of Maize to Planting Dates in a Tropical Rainforest Location

Fakorede, M. A. B.; Opeke, B. O.

doi:10.1017/s0014479700012229

Cited by 24 publications

(20 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…E. oleifera is characterised by a procumbent trunk and slow stem growth, with a mature height of 1 .5 to 2 .7 m, while E. guineensis is characterised by rapid height increment and the trunk reaches a height of 15 to 18 m . E. oleifera is generally lower yielding than E. guineensis and results summarized by Mennier & Hardon (1976) showed NB to be comparable in both species but MBW is (Fakorede, 1979 ;Fakorede & Opeke, 1985 analyses were done . It seems therefore that palms having the potential to produce more fruits (i .e .…”

Section: Resultsmentioning

confidence: 97%

Interrelations among vegetative, yield and bunch quality traits in short-tem oil palm progenies

Oboh

Fakorede

1990

Euphytica

Self Cite

View full text Add to dashboard Cite

Breeders usually obtain information on a large number of traits in their breeding and selection programmes . However, since some or many of these traits could be related, it is desirable to reduce the number being handled to the barest minimum without sacrificing efficiency . Breeders often use correlations, stepwise multiple regressions and path coefficient analyses to determine the nature of relationships among such characteristics . The objective of this study was to use these statistical methods to determine traits that could be useful in predicting number of bunches (NB), fresh fruit bunch yield (FFB) and mean bunch weight (MBW) for 13 backcross progenies of oil palm (Elaeis sp .) grown in four replications with 12 palms per replication . Data were collected over a period of 3 or 11 years, depending on the trait . Progeny means and individual palm data, averaged across replications and years, were used for each of these analyses .Results showed that correlations involving individual palm data were similar to the progeny mean correlations . Five to seven traits accounted for about 70-90% of the variations in the dependent variables . Traits that showed the highest correlations with the dependent variables always accounted for the largest proportion of the variation (r 2 ) in multiple regression models, but did not always have the highest direct effect (i .e . path coefficients) in path analysis of the dependent trait . Number of leaves per palm had the highest correlation (r = 0 .729) with, and accounted for 53 .2% of the variation in NB . Path analysis however showed that percentage fruit per bunch (% F/B) was the most important determinant of NB . It exerted the highest direct effect of 0 .537 . The highest correlation with FFB involved number of leaves (r = 0 .660), which, in multiple regression models also accounted for the largest proportion (44 .0%) of the variation in FFB . Path analysis showed that percentage mesocarp per fruit gave the highest direct effect (p = -0 .974) for this trait .It was concluded that various combinations of number of leaves per palm, sex-ratio, percentage fruit per bunch and percentage mesocarp per fruit would be effective as indirect selection criteria for NB, FFB and MBW in this set of material . Introduction1973 ; Van der Vossen, 1974 ;Hartley, 1977 ; Obisesan, 1981) and less commonly vegetative traits (Ak-

show abstract

Section: Resultsmentioning

confidence: 97%

Interrelations among vegetative, yield and bunch quality traits in short-tem oil palm progenies

Oboh

Fakorede

1990

Euphytica

Self Cite

View full text Add to dashboard Cite

show abstract

“…Therefore, when more than two variables are involved, the correlations per se do not give the complete picture of their relationships. The path coefficient analysis is particularly useful for the study of the cause and the effect relationship, because it simultaneously considers several variables in data set to obtain the coefficients (Fakorede and Opeke 1985). The direct and indirect effects of agronomic traits on CF, RC and PPE are shown in Table 3.…”

Section: Path Coefficient Analysismentioning

confidence: 99%

Tissue culture and agronomic traits relationship in wheat

Dodig

Zorić

Mitić³

et al. 2008

Plant Cell Tiss Organ Cult

View full text Add to dashboard Cite

There are only a few reports about the relationship between tissue culture and agronomic traits in wheat. In an attempt to enlarge the knowledge in this area, 96 wheat genotypes of worldwide origin were evaluated for their tissue culture response as well as the agronomic performance in the threeyear field trials. Plant regeneration was achieved from immature embryos collected 12-15 days after anthesis. Associations between tissue culture and agronomic traits were surveyed by the correlation and path coefficient analyses. A trait-association by year biplot was applied to understand environmental effects on these relationships. All significant traitassociations were of a moderate magnitude and were responsive to the environment. The path coefficient analysis revealed that a grain yield had the highest positive direct effect on a callus formation while the kernel number per spike had the highest positive direct effect on regenerative calli and plant number per embryo. Nevertheless, only productive tillering had significant (positive) direct effect on all studied tissue culture traits.

show abstract

“…Aliyu et al (2000) reported that where there is a characterization of association between characters, correlation analysis helps to determine the type and magnitude of the association between a pair of characters. It has even been reported that where there are more than two variables, using correlation coefficient alone does not give good picture of the interrelationship (Fakorede and Opeke, 1985). Therefore, path coefficient analysis is used where more than two characters are to be considered.…”

Section: Introductionmentioning

confidence: 99%

Character Association and Path Coefficient Analysis of Maize (Zea mays L.) Grown under Incorporated Legumes and Nitrogen

Adesoji¹,

Abubakar²,

Labe³

2015

J. of Agronomy

View full text Add to dashboard Cite

to evaluate character association and path coefficient analysis of maize (Zea mays L.) grown under legume incorporation and nitrogen. The results of this study showed that maize grain yield correlated positively and significantly with all measured characters. Path coefficient analysis indicated that plant height, total dry matter per plant, crop growth rate, cob length, number of grains per cob, 100-seed weight and stover yield showed positive direct effects on grain yield. Plant height and total dry matter per plant and 100-seed weight and stover yield gave the largest combined contributions. In growth characters, the highest individual contributions to grain yield were made by total dry matter per plant and crop growth rate. In yield characters, the highest individual contributions to grain yield were made by 100-seed weight and stover yield. Conclusively, total dry matter per plant, crop growth rate, 100-seed weight and stover yield should be considered for selection criteria in improving these varieties for better yield.

show abstract

Weather Factors Affecting the Response of Maize to Planting Dates in a Tropical Rainforest Location

Cited by 24 publications

References 10 publications

Interrelations among vegetative, yield and bunch quality traits in short-tem oil palm progenies

Interrelations among vegetative, yield and bunch quality traits in short-tem oil palm progenies

Tissue culture and agronomic traits relationship in wheat

Character Association and Path Coefficient Analysis of Maize (Zea mays L.) Grown under Incorporated Legumes and Nitrogen

Contact Info

Product

Resources

About