Assessing the Supression on Weeds by Cover Plants in Amazonas, Brazil | Chapter 9 | Cutting-edge Research in Agricultural Sciences Vol. 10

 Citrus plant productivity has not reached its full potential due to the action of several factors that have a direct impact on agricultural profitability.  Weed interference is one of the most important of these factors because it reduces crop productivity.  The crop's sustainability is jeopardized by technological limitations and poor orchard management.  Some field studies have been motivated by compaction and erosion to evaluate weed management alternatives in the crop interrow, such as the use of cover plants to minimize losses and more rationally exploit natural resources.  The purpose of this study was to evaluate the effect of various cover crops on weed suppression in orchard. The study was carried out in a commercial orange production area in Rio Preto da Eva, AM, Brazil. A randomized block design with six treatments and four replications was used in the experiment. The treatments were control, millet, jack bean, forage turnip, brachiaria, millet + jack bean, and millet + jack bean. Weed density, soil cover percentage, total weed dry matter, total cover plant dry matter, and growth indices were all assessed (leaf area index, leaf area ratio, and specific leaf area). Except for forage turnip, cover plants produced a lot of dry matter and were good at suppressing weed growth. The was presented by Brachiaria and Jack Bean.

Author (s) Details

Leandro Amorim Damasceno
Federal Instituto of Amazonas, Eurinepé, AM, Brazil.

José Eduardo Borges Carvalho
Embrapa Fruticultura e Mandioca, Cruz das Almas, BA, Brazil.

Francisco Alisson Xavier
Embrapa Fruticultura e Mandioca, Cruz das Almas, BA, Brazil.

Ansselmo Ferreira dos Santos
Federal Instituto of Mato Grosso, Juína, MT, Brazil.

Gerlândio Suassuna Gonçalves
Federal University of Amazonas, Itacoatiara, AM, Brazil.

Alan Ferreira Leite de Lima
Federal University of Amazonas, Manaus, AM, Brazil.

Wildson Benedito Mendes Brito
Federal University of Amazonas, Manaus, AM, Brazil.

Cláudio Luiz Leone Azevedo
Embrapa Fruticultura e Mandioca, Cruz das Almas, BA, Brazil.

José Ferreira da Silva
Federal University of Amazonas, Manaus, AM, Brazil.

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Relationship between Rainfall Variability and Millet (Pennisetum americanum L.) and Sorghum (Sorghum bicolor (L) moench.) Yields in the Sudan Savanna Ecological Zone of Nigeria: A Modelling Approach | Chapter 5 | Cutting-edge Research in Agricultural Sciences Vol. 10

 The purpose of this study is to investigate the relationship between rainfall variability parameters and millet (Pennisetum americanum L.) and sorghum (Sorghum bicolor (L) moench.) yields in Nigeria's Sudan Savanna ecological zone. Daily rainfall, millet, and sorghum yield data collected by nearby stations between 1981 and 2010 were used as input in the model. It aims to create a model that can predict millet and sorghum yields based on rainfall data. The following analytical tools were used to develop and test the model's performance: ogive of cumulative pentad rainfall, product - Stepwise multiple regression analysis, moment correlation coefficient (r), and coefficient of determination (R2). Four yield forecast models were developed as a result of the research: three for millet in Kano, Katsina, and Potiskum, and one for sorghum in Potiskum. Assuming the best-fitted yield forecast models, the model accounted for 61.7 percent of the variation in millet yield related to total yearly rainfall and 68.1 percent of the variation in sorghum yield related to total rainfall in May. The 38.3 percent unaccounted variation in millet yield and 31.9 percent variation in sorghum yield suggest that other factors may influence the yield variability of the two crops.

Author (s) Details

Dr. Haruna Saleh
Department of Geography, Umaru Musa Yar`adua University, Katsina State, Nigeria.

Dr. Tasi’u Yalwa Rilwanu
Department of Geography, Bayero University, Kano, Nigeria.

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