TY - JOUR
T1 - Optimizing Maize Yield With Hybrids Tolerant of High Plant Density in West and Central Africa
AU - Ygzaw, Wendm
AU - Ifie, Beatrice Elohor
AU - Ribeiro, Priscilla Francisco
AU - Adu, Gloria Boakyewaa
AU - Danquah, Eric Yirenkyi
AU - Offei, Samuel Kwame
AU - Tongoona, Pangirayi Bernard
N1 - Publisher Copyright:
© 2025 The Author(s). Plant-Environment Interactions published by New Phytologist Foundation and John Wiley & Sons Ltd.
PY - 2025/4/30
Y1 - 2025/4/30
N2 - The use of high plant density tolerant maize hybrids was one of the most successful interventions that boosted maize yield in the developed world. However, very little research has been conducted in the improvement of maize for high plant density tolerance in West and Central Africa (WCA). This study aimed to identify high plant density-tolerant maize hybrids adapted to multiple environments. Forty-eight maize hybrids were evaluated under three plant densities (low = 53,333, medium = 66,666, and high = 88, 888 plants ha−1). The experiment was conducted in four different environments in Ghana using 8 × 6 alpha lattice design with split plot arrangement. Plant density was the main plot and hybrids arranged in incomplete blocks within each plant density. The results revealed that the relative grain yield performance of the genotypes was dependent on plant density. Optimum plant density for the hybrids varied with growing environments. The highest grain yield of 9.5, 9.2, and 8.6 t ha−1 were obtained from the high plant density in Legon (minor season), Fumesua, and Legon (off-season), respectively, and it was 26.7%, 22.7%, and 30% increase in comparison to the respective yield under the low density. F1 hybrids M131 × CML16, CML16 × TZEI1, CML16 × 87,036, TZEI387 × CML16, and ENT11 × 87,036 are good candidates for high-density planting in high-yielding environments. Grain yield performance of the maize hybrids was highest under high plant density for most of the growing environments. Thus, implementing high-density planting for maize hybrids could be one of the options for increasing maize yield in West and Central Africa.
AB - The use of high plant density tolerant maize hybrids was one of the most successful interventions that boosted maize yield in the developed world. However, very little research has been conducted in the improvement of maize for high plant density tolerance in West and Central Africa (WCA). This study aimed to identify high plant density-tolerant maize hybrids adapted to multiple environments. Forty-eight maize hybrids were evaluated under three plant densities (low = 53,333, medium = 66,666, and high = 88, 888 plants ha−1). The experiment was conducted in four different environments in Ghana using 8 × 6 alpha lattice design with split plot arrangement. Plant density was the main plot and hybrids arranged in incomplete blocks within each plant density. The results revealed that the relative grain yield performance of the genotypes was dependent on plant density. Optimum plant density for the hybrids varied with growing environments. The highest grain yield of 9.5, 9.2, and 8.6 t ha−1 were obtained from the high plant density in Legon (minor season), Fumesua, and Legon (off-season), respectively, and it was 26.7%, 22.7%, and 30% increase in comparison to the respective yield under the low density. F1 hybrids M131 × CML16, CML16 × TZEI1, CML16 × 87,036, TZEI387 × CML16, and ENT11 × 87,036 are good candidates for high-density planting in high-yielding environments. Grain yield performance of the maize hybrids was highest under high plant density for most of the growing environments. Thus, implementing high-density planting for maize hybrids could be one of the options for increasing maize yield in West and Central Africa.
KW - F hybrid
KW - maize
KW - multiple environments
KW - plant density
UR - http://www.scopus.com/inward/record.url?scp=105001734997&partnerID=8YFLogxK
U2 - 10.1002/pei3.70046
DO - 10.1002/pei3.70046
M3 - Article
C2 - 40160889
AN - SCOPUS:105001734997
SN - 2575-6265
VL - 6
JO - Plant-Environment Interactions
JF - Plant-Environment Interactions
IS - 2
M1 - e70046
ER -