Open Access

ARTICLE

Growth analysis of three varieties of cotton (Gossypium hirsutum L.) in an arid region of Mexico

Orozco-Vidal JA¹, P Yescas-Coronado¹, MA Segura-Castruita¹, R Valdez-Cepeda², E Martínez-Rubín de Celis¹, JA Montemayor-Trejo¹, M Fortis-Hernández¹, P Preciado-Rangel¹

1 Instituto Tecnológico de Torreón. Carretera Torreón-San Pedro km 7,5. Ejido Ana, municipio de Torreón, Coahuila, México. C.P. 27170.
2 Universidad Autónoma Chapingo-DICEA. Chapingo, México.

* Corresponding Authors:Address Correspondence to: Dr. Jorge Arnaldo Orozco-Vidal, e-mail: ; MA Segura-Castruita, e-mail: ; Fax 01-871-7507198; Tel. 01-871-7507198.

Phyton-International Journal of Experimental Botany 2011, 80(all), 47-52. https://doi.org/10.32604/phyton.2011.80.047

Abstract

The development of three cotton varieties was evaluated through the growth analysis technique. Study varieties were two of normal leaf (Cian Precoz and NuCotton 35B) and the other of okra leaf (Fiber Max 832). Vegetative and reproductive samplings effected at different days after planting (dap) allowed us to determine the (1) growth dynamics, (2) production efficiency and (3) the biomass distribution of the three cotton varieties. Seeding was conducted following the production system of narrow rows (0.76m, between rows; 0.20m between plants) to obtain a plant density of 65500 plants/ha. Varieties were distributed in a random block experimental design with six replicates. At four different dates (69, 82, 105 and 120 dap) two plants per plot were obtained to get the data of leaf area, total dry weight and dry weight of both vegetative and reproductive organs. Growth indexes such as crop growth rate (CGR), net assimilation rate (NAR), leaf area index (LAI), leaf area ratio (LAR), specific leaf area (SLA), leaf weight ratio (LWR) were estimated with the data obtained. Results showed that the study varieties statistically differed in the production rate and the indicators of the magnitude of the photosynthetic apparatus (LAR and SLA). Samplings also differed in biomass distribution.

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