Author
Listed:
- E. Chaibva
- L. Musundire
- W. Chivasa
- A. Lagat
Abstract
The study evaluated new biofortified, high-yielding and disease-resistant bean varieties for their adaptability in Zimbabwe. The secondary objective was to assess the association between yield and other traits that contribute to grain yield and identify traits that have direct and indirect effects on grain yield. The study was conducted between December 2016 and June 2017 using an augmented design with 24 varieties replicated three times at Chinhoyi University of Technology Research Farm. Data was analysed using analysis of variance in the statistical analysis system (SAS) software. DAB482, DAB494 and DAB539 were identified as high-yielding varieties with desired disease tolerance to common bean blight (CBB), common leaf rust (CLR) and angular leaf spot). Therefore, these improved common bean varieties recommended for further multilocation evaluation with the potential to be released as commercial varieties. Correlation coefficient values and path analysis values (direct and indirect) showed that the weight of 100 randomly selected seeds per variety and the percentage number of plants that germinated per plot could be used for indirect selection for grain yield (kg/ha). A negative correlation indicates an inverse relationship between traits. This study observed significant negative correlations for CBB and CLR relative to grain yield (kg/ha). This suggests that the grain yield (kg/ha) decreases with increased disease incidence and severity, highlighting the importance of disease tolerance in achieving high grain yield. Hence, there is a need for the breeding program to select and advance varieties that are tolerant to diseases to achieve the desired improvement in grain yield performances.
Suggested Citation
E. Chaibva & L. Musundire & W. Chivasa & A. Lagat, 2024.
"Adaptation, Path Coefficient and Correlation Study of Yield and Associated Traits in Common Bean (Phaseolus vulgaris L.) Genotypes,"
Journal of Agricultural Science, Canadian Center of Science and Education, vol. 16(10), pages 1-65, October.
Handle:
RePEc:ibn:jasjnl:v:16:y:2024:i:10:p:65
Download full text from publisher
More about this item
JEL classification:
- R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
- Z0 - Other Special Topics - - General
Statistics
Access and download statistics
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:jasjnl:v:16:y:2024:i:10:p:65. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.