Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Agronomic Traits of Seven Accessions of Cenchrus purpureus under Rainfed Conditions in the Tropic Region of Veracruz, México

Version 1 : Received: 24 February 2024 / Approved: 26 February 2024 / Online: 26 February 2024 (15:13:32 CET)

How to cite: Arrieta-Gonzalez, A.; Silva-Martínez, K. L.; Barrientos-Morales, M.; Vite-Cristóbal, C.; Rodríguez-Andrade, A.; Hernández-Beltrán, A.; Cervantes-Acosta, P.; Dominguez Domínguez, B. Agronomic Traits of Seven Accessions of Cenchrus purpureus under Rainfed Conditions in the Tropic Region of Veracruz, México. Preprints 2024, 2024021475. https://doi.org/10.20944/preprints202402.1475.v1 Arrieta-Gonzalez, A.; Silva-Martínez, K. L.; Barrientos-Morales, M.; Vite-Cristóbal, C.; Rodríguez-Andrade, A.; Hernández-Beltrán, A.; Cervantes-Acosta, P.; Dominguez Domínguez, B. Agronomic Traits of Seven Accessions of Cenchrus purpureus under Rainfed Conditions in the Tropic Region of Veracruz, México. Preprints 2024, 2024021475. https://doi.org/10.20944/preprints202402.1475.v1

Abstract

The agronomic characteristics of Cenchrus purpureus were assessed through a randomized block experimental design with seven accessions (Taiwan grass, King grass, Elephant grass, Merkeron, CT-115, Purpule grass and Maralfalfa) as treatments and four replications research was carried out at the Instituto Tecnológico Superior de Tantoyuca, in 2019 and 2020, under rainfed conditions. Sowing density was established at 36 tillers in 25 m2. Green and dry matter yield, daily rates of dry matter accumulation in leaves, leaf/stem ratio, height, leaf area index and cutting frequency were assessed. Rainfall amount, temperature, relative humidity and global radiation levels were recorded to assess their effect on the evaluated variables. One-way ANOVA and multivariate analysis techniques, such as multiple linear regression (MLR), Clustering, and Principal component analysis (PCA) with the Statistica V7 software, were used. The leaf area index was greatest (p < 0.05) on the dry season. Green and dry matter yield were greatest in Maralfalfa (p < 0.05). Variation in the results is attributed to weather phenomena; nonetheless, Elephant grass and Maralfalfa showed the highest yields. Quality parameters must be evaluated to identify those grasses with the best attributes.

Keywords

Mathematical models; Fodder; Yield; drought; Tropic

Subject

Environmental and Earth Sciences, Environmental Science

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