Effect of Nitrogen on Agronomic Yield, Spad Units and Nitrate Content in Roselle (Hibiscus Sabdariffal.) in Dry Weather

Effect of Nitrogen on Agronomic Yield, Spad Units and Nitrate Content in Roselle (Hibiscus Sabdariffal.) in Dry Weather



Juan Manuel Loeza Corte, Alejandro Morales Ruiz, Arturo Olivar
Hernandez, Edgar Josanine Vargas Ramirez, Magda Elizabeth Marin Beltran,
Jorge Francisco Leon de la Rocha, Patricia Hernandez Herrera, Ernesto
Diaz Lopez



This study was conducted in polyethylene bags of 4 kg capacity with
plants of Jamaica from seeds collected from an accession on the coast of
Oaxaca, which were planted under the ecological conditions of Teotitlán
de Flores Magón, and evaluated under completely randomized design,
where treatments were four levels of nitrogen: 0, 50, 100 and 150 kg
ha-1 and four repetitions (4x4) = 16 experimental units. The variables
evaluated were: both agronomic yields: chalice and seed, harvest index,
SPAD units and nitrate content in leaf. The results indicate that higher
yields ofseed and chalice, biomass, nitrate content in leaf and SPAD
units were achieved with the application of 100 kg ha-1 of nitrogen with
50.39, 196.80, 620.4 g plant-1, 85.00 mg kg-1 and 29.10 units,
respectively. The content of nitrates and its relationship with SPAD
units, adjusted to an increasing linear model for the four levels of
nitrogen studied. From this study it can be concluded that the
application of 100 kg N ha-1, positively affect the culture of Jamaica
under dry weather conditions way. 



10.22161/ijeab/1.4.22



http://ijeab.com/upload_document/issue_files/22%20IJEAB-NOV-2016-36-Effect%20of%20Nitrogen%20on%20Agronomic%20Yield,%20Spad%20Units%20and%20Nitrate%20Content%20in%20Roselle%20(Hibiscus%20Sabdariffal.)%20in%20Dry%20Weather.pdf



ijeab.com/submit-paper/

Comments

Popular posts from this blog

The Ecological Impacts of Light Pollution at Night-time a Mechanistic Appraisal

Studying the tendency of citizens to participate in the protection and development of land scape in Tehran

Land Use Land Cover Change Detection by Using Remote Sensing Data in Akaki River Basin