Prediction of maize (Zea mays L.) yield under moderately waterlogged condition using agronomic traits measured prior to harvesting
Issue Date
12-2015
Abstract
Maize production in the Philippines is facing constraints brought about by more intense and frequent rainfall resulting to excess soil moisture stress or waterlogging. Identification and assessment of agronomic traits related to waterlogging are keys to the development of tolerant cultivars. S₁ families from two high yielding open-pollinated maize cultivars, IPB VAR6 (high lysine and tryptophan contents, also known as a quality protein maize cultivar) and IPB VAR13 (hybrid maize alternative of poor Filipino farmers), were evaluated under normal field soil moisture and moderate waterlogging conditions.Yield was used as the indicator of stress tolerance. For each cultivar, 20 S₁ families were selected based on best linear unbiased yield predictors, estimated from models accounting for treatment. S₁ family, and interaction effects. Correlation analysis indicated that anthesis-silking interval and adventitious root growth were not significantly correlated with yield. Yield prediction models utilizing 10 agronomic traits measured prior to harvesting as explanatory varieties, were used to complement the correlation analysis. The models showed 69.1% and 73.1% adjusted R² under normal field soil moisture and moderate waterlogging conditions, respectively. These models have potential applications in early yield prediction and in predicting yield when empirical yield data for some entries are lost due to inclement weather, pests, diseases and data mishandling.
Source or Periodical Title
Philippine Journal of Crop Science
ISSN
0115-463x
Volume
40
Issue
3
Page
82-89
Document Type
Article
Frequency
tri-quarterly
Physical Description
tables, graphs
Language
English
Recommended Citation
Paril, Jefferson F.; Sanchez, Maria Alma B.; and Salazar, Artemio M., "Prediction of maize (Zea mays L.) yield under moderately waterlogged condition using agronomic traits measured prior to harvesting" (2015). Journal Article. 4924.
https://www.ukdr.uplb.edu.ph/journal-articles/4924
