CIM22LAPP2A-28

CIM21LAPP2A-4 is an intermediate-maturing, high-yielding, white maize hybrid with GLS and ear rot resistance. The product is notable for its good husk cover, ear position, standability, good male-female flowering synchrony for seed production, tolerance to drought stress (rainfed conditions), good (short and erect) plant architecture, and is suitable for food use in the central mid-altitude environments of Mexico or similar agro-ecologies in other regions.   General Information   Target Region Latin America   Adaptation/Agroecological zone 1200 - 1800m above sea level   Type of product Three-way hybrid   Year first announced 2024         Grain Characteristics   Grain color White   Grain texture Semi-dent             Biotic Stress Performance Abiotic Stress Performance   Grey leaf spot (GLS) (1-9)* 2.1 Grain yield under optimum conditions 11.38 t/ha   Ear Rots (%) 7.3% Grain yield under rainfed conditions 8.73 t/ha   *Scored on 1-9 scale, where 1 = Highly resistant; 5 = Tolerant; 9 = Highly susceptible Grain yield on-farm (avg) 8.81 t/ha   Grain yield on-farm (opt.) 11.11 t/ha       Grain yield on-farm (rainfed) 6.10 t/ha   Seed Production Characteristics       SC female parent seed yield  5.2 t/ha Agronomic Characteristics   Male seed yield  3.7 t/ha Maturity group Intermediate   Nicking 0 days 50% anthesis 71 DAP       Plant height 245 cm   Comments Ear height 122 cm   Product information is based on data from the 2021 CIMMYT Mexico Stage 4 Trials and 2022 Stage 5 Trials. Actual performance will vary depending on a number of agronomic and environmental factors.

Abbreviations:
DAP = days after planting
SC = Single-cross
GLS = Grey leaf spot Ear position (ratio) 0.49   Ears per plant 1.00   Ear aspect (1-9)* 3.5   Plant aspect (1-9)* 2.8   Bad husk cover 2.9%   Root lodging 1.3%   Stalk lodging 3.3%   Anther-silking interval 0.8 days   *Plant and ear aspects are scored on 1-9 scale, where 1 = desirable and 9 = undesirable characteristics               Further Links       Full Announcement & trial data