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Supporting Physiological Trait for Indirect Selection for Grain Yield in Drought-Stressed Popcorn
Samuel Henrique Kamphorst1, Gabriel Moreno Bernardo Gonçalves1, Antônio Teixeira do Amaral Júnior1
1Plant Breeding Laboratory, Agricultural Science and Technology Center, North Fluminense State University, Av. Alberto Lamego 2000, Campos dos Goytacazes 28013-602, Brazil.
Identifying drought tolerance traits in popcorn supports superior plant selection under water deficit. Morphological traits and leaf greenness effectively predict grain yield and popping expansion, aiding breeding programs.
Area of Science:
- Agronomy
- Plant Breeding
- Genetics
Background:
- Drought tolerance is crucial for popcorn (Zea mays everta) production, impacting grain yield and popping expansion.
- Identifying predictive traits aids in developing drought-resilient popcorn varieties.
Purpose of the Study:
- To identify morphological and leaf greenness traits that predict grain yield (GY) and popping expansion (PE) in popcorn under drought conditions.
- To evaluate the efficacy of multiple regression models in selecting superior popcorn lines for drought tolerance.
Main Methods:
- Assessed 20 popcorn lines under well-watered (WW) and water stress (WS) conditions.
- Measured morpho-agronomic traits (e.g., 100-grain weight, prolificacy) and leaf greenness (SPAD, NDVI).
- Utilized multiple regression to model relationships between traits and GY/PE.
Main Results:
- Water restriction significantly reduced GY (55%) and PE (28%).
- Morpho-agronomic traits like 100-grain weight and prolificacy were notably reduced under WS.
- SPAD index and tassel length were identified as indirect predictors for GY, while prolificacy strongly correlated with PE under WS.
Conclusions:
- Multiple regression is effective for identifying traits predictive of popcorn yield and quality under drought.
- Selected traits, including SPAD, tassel length, and prolificacy, can be utilized for indirect selection in breeding programs to enhance drought tolerance.
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