Current Research in Agricultural Sciences

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Online ISSN: 2312-6418
Print ISSN: 2313-3716
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No. 3

Harvesting Date Influences Cassava (Manihot Esculenta Crantz) Yield and Quality of Based-Products

Pages: 75-83
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Harvesting Date Influences Cassava (Manihot Esculenta Crantz) Yield and Quality of Based-Products

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DOI: 10.18488/journal.68.2017.43.75.83

Citation: 1

Mapiemfu-Lamare, D. , Ngome, A.F. , Eyenga, E.F. , Mbassi, J.E.G. , Suh C.

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[1]          Ecocrop, Ecocrop, ecocrop database: FAO, 2011.

[2]          V. Lebot. Tropical root and tuber crops: Cassava, sweet potato, yams and aroids. Crop production science in horticulture (17), CAB books. UK: CABI, Wallingford, 2009.

[3]          FAO (Food and Agriculture Organization), "FAOSTAT." Retrieved from http://faostat.fao.org, 2015.

[4]          FAO IFAD WFP The State of Food Insecurity in the World, Strengthening the enabling environment for food security and nutrition. Rome: FAO, 2014.

[5]          E. Njukwe, J. Duindam, S. Hauser, B. Maziya-Dixon, D. Amadou, O. Onadipe, A. Mbairanodji, T. Ngue-Bissa, and H. R. KirschtHanna, "Development and dissemination of a manual cassava chipper in Cameroon. In tropical roots and tuber crops and the challenges of globalization and climate change," in Proceedings of the 11th Triennial Symposium of the ISTRC-AB, October 4–8, 2010, Kinshasa, 2012b, pp. 449–452.

[6]          F. Apea-Bah, I. Oduro, W. Ellis, and Safo-Kantanka, "Factor analysis and age at harvest effect on the quality of flour from four cassava varieties," World Journal of Dairy & Food Sciences, vol. 6, pp. 43-54, 2011. View at Google Scholar 

[7]         I. Defloor, R. Swennen, M. Okanga, and J. A. Delcour, "Moisture stress during growth affects the breadmaking and gelatinisation properties of cassava (Manihot Esculenta Crantz) flour," Journal of the Science of Food and Agriculture, vol. 76, pp. 233-238, 1998a.

[8]          V. Santisopasri, K. Kurotjanawong, S. Chotineeranat, K. Piyachomkwan, K. C. Sriroth, and A. A. Melifonwu, "Weed and their control in cassava," African Crop Science Journal, vol. 2, pp. 519-530, 1994. View at Google Scholar 

[9]          M. A. Hayford, "Growth, yield and tuber quality of cassava as influenced by terramend 21, poultry manure and inorganic fertilizer," 2009.

[10]        T. Mulualem and B. Ayenew, "Cassava (Mannihot Esculenta Cranz) varieties and harvesting stages influenced yield and yield related components," Journal of Natural Sciences Research, vol. 2, pp. 122-128, 2012.View at Google Scholar 

[11]        N. C. Temegne, A. F. Ngome, and K. A. Fotso, "Influence de la composition chimique du sol sur la teneur en éléments nutritifs et le rendement du manioc (Manihot Esculenta Crantz, Euphorbiaceae) dans deux zones agro-écologiques du Cameroun," International Journal of Biological and Chemical Sciences, vol. 9, pp. 2776-2788, 2015.View at Google Scholar | View at Publisher

[12]        P. Khanthavong, S. Oudthachit, A. Souvannalat, and N. Matsumoto, "Effect of weed biomass on cassava yield related to weeding times, APAR," vol. 5, 2016.

[13]        D. N. Khang, H. Wiktorsson, and T. R. Preston, "Yield and chemical composition of cassava foliage and tuber yield as influenced by harvesting height and cutting interval," Asian-Australasian Journal of Animal Sciences, vol. 18, pp. 1029-1035, 2005.View at Google Scholar | View at Publisher

[14]        N. A. Streck, D. G. Pinheiro, A. J. Zanon, L. F. Gabriel, T. S. M. Rocha, A. T. Souza, and M. R. Silva, "Effect of plant spacing on growth, development and yield of cassava in a subtropical environment," Bragantia, vol. 73, pp. 407-415, 2014. View at Google Scholar 

[15]        T. S. Silva, P. S. L. Silva, J. D. Braga, L. M. Silveira, and R. P. Sousa, "Planting density and yield of cassava roots," Revista Ciência Agronômica, vol. 44, pp. 317-324, 2013. View at Google Scholar | View at Publisher

[16]        P. Olorunmaiye, M. Patience, and K. S. Olorunmaiye, "Effect of integrated weed management on weed control and yield components of maize and cassava intercrop in Southern Guinea Savanna ecology of Nigeria," AJCS, vol. 3, pp. 129-136, 2009. View at Google Scholar 

[17]        A. E. Agahiu, K. P. Baiyeri, and R. O. Ogbuji, "Structural morphology of Cassava (Manihot Esculenta Crantz) genotypes influenced yield and responses to weed management in the Guinea savanna zone of Nigeria," Journal of Applied Biosciences, vol. 48, pp. 3270-3278, 2011.

[18]        M. H. French, The nutritive value of cassava roots. Tanganyika: Rep. Cet. Dep, 1937

[19]        J. N. Maner, J. Buitrago, and I. Jimenez, "Utilisation of yuca in swine feeding," in Proc. Int. Symp, Tropical Root Crops, Trinidad, 2, Section VI, 1967, pp. 62-71.

[20]        E. Dongmeza, S. Steinbronn, G. Francis, U. Focken, and K. Becker, "Investigations on the nutrient and antinutrient content of typical plants used as fish feed in small scale aquaculture in the mountainous regions of Northern Vietnam, " Feed Science and Technology, vol. 149, pp. 162-178, 2009. View at Google Scholar | View at Publisher

[21]        E. Njukwe, R. Hana, H. Kirscht, and S. Araki, "Farmers perception and criteria for cassava variety preference in Cameroon," African Study Monographs, vol. 34, pp. 221–234, 2013. View at Google Scholar 

[22]        L. D. Levai, M. A. Nsimi, G. Nana, A. M. Ngone, A. Amayana, A. M. L. Sama, and F. A. Ngome, "Consumer perception of gari prototypes and prospects for improvement and marketing in the South West region of Cameroon," IJAER, vol. 2, pp. 1304-1318, 2016.View at Google Scholar 

Mapiemfu-Lamare, D. , Ngome, A.F. , Eyenga, E.F. , Mbassi, J.E.G. , Suh C. (2017). Harvesting Date Influences Cassava (Manihot Esculenta Crantz) Yield and Quality of Based-Products. Current Research in Agricultural Sciences, 4(3): 75-83. DOI: 10.18488/journal.68.2017.43.75.83
In order to evaluate cassava roots yield of two varieties at three harvesting dates and assess the effect of harvesting date on physico-chemical composition of roots and quality of gari and baton de manioc, a study was done.  Cassava roots of a popular variety (local white) and the improved variety 8034 were harvested in small holder farmers’ fields in the mono-modal humid forest zone and the bimodal humid forest zone of Cameroon. At harvest, the yield was evaluated, the physico-chemical composition of roots evaluated and a sensory test carried out on gari and baton de manioc after processing. Results showed that harvesting date has an effect on the cassava roots yield, for both local white and variety 8034. Cassava yield varied according to agro-ecological zones, with higher yield in the mono-modal humid forest zone than the bimodal humid forest zone. The nutrient content in cassava root varied with the variety and age of roots. There was an increase with the age of roots for K, P and dry matter content for the variety 8034. With the local white variety, there was an increase in total N and dry matter content. In contrary, there was a gradual decrease of percentage Mg, K, Na with the age of cassava roots for the variety 8034.Baton de manioc obtained from variety 8034 at 10-12 months and gari obtained from same variety were scored the highest global quality.

Contribution/ Originality
This study is one of very few studies which have investigated the right harvesting time and the best cassava variety to be used to obtain good cassava based-products.

Identification of Soybean Genotypes (Glycine Max (L.) Merrill) Through Genetic Variability Analysis

Pages: 68-74
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Identification of Soybean Genotypes (Glycine Max (L.) Merrill) Through Genetic Variability Analysis

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DOI: 10.18488/journal.68.2017.43.68.74

M. M. Mahbub , B. J. Shirazy , M. M. Mir Kabir , M. Mamunur Rahman

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[1]         M. M. Mahbub, M. M. Rahman, M. S. Hossain, F. Mahmud, and M. M. M. Kabir, "Genetic variability, correlation and path analysis for yield and yield components in soybean," American-Eurasian Journal of Agricultural & Environmental Sciences, vol. 15, pp. 231-236, 2015. View at Google Scholar 

[2]         L. Rahman, Cultivation of soybean and its uses. Dhaka: Citypress, 1982.

[3]         S. J. Henkel, "Health claims for soy protein, questions about other components," FDA Consumer, vol. 34, p. 13, 2000.

[4]         P. M. Gresshoff, S. Hayashi, B. Biswas, S. Mirzaei, A. Indrasumunar, D. Reid, S. Samuel, A. Tollenaere, B. Van Hameren, and A. Hastwell, "The value of biodiversity in legume symbiotic nitrogen fixation and nodulation for biofuel and food production," Journal of Plant Physiology, vol. 172, pp. 128-136, 2015. View at Google Scholar | View at Publisher

[5]         M. M. Mahbub, M. M. Rahman, M. S. Hossain, L. Nahar, and B. J. Shirazy, "Morphophysiological variation in soybean (Glycine Max (L.) Merrill," American-Eurasian Journal of Agricultural & Environmental Sciences, vol. 16, pp. 234-238, 2016.View at Google Scholar 

[6]         M. M. Rahman, M. G. Rasaul, M. A. Hossain, K. M. Iftekharuddaula, and H. Hasegawa, "Molecular characterization and genetic diversity analysis of rice (Oryza Sativa L.) using SSR markers," Journal of Crop Improvement, vol. 26, pp. 244-257, 2012. View at Google Scholar | View at Publisher

[7]         M. R. A. Khan, M. M. Mahbub, M. A. Reza, B. J. Shirazy, and F. Mahmud, "Selection of field pea (Pisum Sativum L.) genotypes through multivariate analysis," Scientia Agriculturae, vol. 16, pp. 98-103, 2016. View at Google Scholar | View at Publisher

[8]         R. G. D. Steel and J. H. Torrie, Principles and procedures of statistics, a biometrical approach. New York: McGraw-Hill, 1980.

[9]         M. M. Mahbub and B. J. Shirazy, "Evaluation of genetic diversity in different genotypes of soybean (Glysine max (L.) Merrill," American Journal of Plant Biology, vol. 1, pp. 24-29, 2016. View at Google Scholar 

[10]       M. M. Rahman, M. G. Rasul, M. K. Bashar, M. A. Syed, and M. R. Islam, "Parent selection for transplanted Aman rice breeding by morphological, physiological and molecular diversity analysis," Libya's Agricultural Research Center International Journal, vol. 2, pp. 26-28, 2011. View at Google Scholar 

[11]       S. Khan, A. Latif, S. Q. Ahmad, F. Ahmad, and M. Fida, "Genetic variability analysis in some advanced lines of soybean (Glycine Max L.)," Asian Journal of Agricultural Sciences, vol. 3, pp. 138-141, 2011. View at Google Scholar 

[12]       S. Salimi, H. S. Lahiji, G. M. Abadi, S. Salimi, and S. Moradi, "Genetic diversity in soybean genotypes under drought stress condition using factor analysis and cluster analysis," World Applied Sciences Journal, vol. 16, pp. 474-478, 2012. View at Google Scholar 

[13]       S. H. Youseif, F. H. A. El-Megeed, A. Ageez, Z. K. Mohamed, A. Shamseldin, and S. A. Saleh, "Phenotypic characteristics and genetic diversity of rhizobia nodulating soybean in Egyptian soils," European Journal of Soil Biology, vol. 60, pp. 34-43, 2014. View at Google Scholar | View at Publisher

[14]       M. Oz, A. Karasu, A. T. Goksoy, and Z. M. Turan, "Interrelationships of agronomical characteristics in soybean (Glycine Max) grown in different environments," International Journal of Agriculture and Biology, vol. 11, pp. 85-88, 2009. View at Google Scholar 

[15]       M. F. A. Malik, A. S. Qureshi, M. Ashraf, and A. Ghafoor, "Genetic variability of the main yield related characters in soybean," International Journal of Agriculture and Biology, vol. 8, pp. 815-819, 2006. View at Google Scholar 

[16]       S. P. S. Sirohi, S. Malik, S. P. Singh, and R. Yadav, "Genetic variability, correlations and path coefficient analysis for seed yield and its components in soybean [Glycine Max (L.) Merrill," Progressive Agriculture, vol. 7, pp. 119-123, 2007. View at Google Scholar 

M. M. Mahbub , B. J. Shirazy , M. M. Mir Kabir , M. Mamunur Rahman (2017). Identification of Soybean Genotypes (Glycine Max (L.) Merrill) Through Genetic Variability Analysis. Current Research in Agricultural Sciences, 4(3): 68-74. DOI: 10.18488/journal.68.2017.43.68.74
The physiomorphological divergence was assessed in twenty eight soybean genotypes by using principal component analysis, cluster mean analysis and mean analysis to recognize parental genotypes for potential breeding plan in order to build up new high compliant varieties for the period of rabi season, 2011 at Sher-e-Bangla Agricultural University, Bangladesh in RCB design with three replications. The results of analysis revealed that all the characters like days to first flowering, days to 50% flowering, days of maturity, plant height (cm), branches number per plant, number of pods per plant, pod length (cm), number of seeds per pod, seeds per plant, hundred seed weight (g) and seed yield per plant (g) were significantly pretentious due to diverse soybean genotypes. The maximum intra cluster distance was establish in cluster V and while cluster IV showed lowest intra-cluster distance values which revealed homogenous nature of the genotype within the cluster. The uppermost inter cluster distance was watch involving cluster II and IV followed by II and V. The first flowering days ranged from 51.67 to 76.33, 50% flowering from 55.33 to 79.00, maturity days from 105.33 to 132.00, plant tallness from 21.90 to 79.87 cm, branches per plant from 1.80 to 5.87, pods per plant from 24.62 to 59.57, pod length from 2.53 to 4.19 cm, seeds per pod from 2.37 to 2.66, seeds per plant 60.70 to 158.37, hundred seed weight from 6.27 to 16.57 g and per plant seed yield ranges from 5.73 to 17.40 g. The genotypes F-85-11347, MTD-451, CHINA-1, PI-4174-75 and YESOY-4 remained the best among twenty eight genotypes studied in terms of studied traits. It was recommended that these advanced lines may be focused and involved in future breeding program for the development of new high acquiescent soybean variety.

Contribution/ Originality
The paper`s primary contribution is finding that to evaluation of soybean (Glycine max (L.) Merrill) genotypes for morphological, growth and yield associated characters through multivariate analysis. So as to it provides substantial information and addresses the issues of best adaptable genotypes for soybean breeders.

Perception of Cassava Farmers of Climate Change on Cassava Production in Ido Local Government Area of Oyo State, Nigeria

Pages: 61-67
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Perception of Cassava Farmers of Climate Change on Cassava Production in Ido Local Government Area of Oyo State, Nigeria

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DOI: 10.18488/journal.68.2017.43.61.67

Oyewo, I. O , Adepoju, A.O , Oyewo, E.O , Adigun, M.O

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Oyewo, I. O , Adepoju, A.O , Oyewo, E.O , Adigun, M.O (2017). Perception of Cassava Farmers of Climate Change on Cassava Production in Ido Local Government Area of Oyo State, Nigeria. Current Research in Agricultural Sciences, 4(3): 61-67. DOI: 10.18488/journal.68.2017.43.61.67
The study examined the perception of farmers on the change in climate condition on cassava production in Ido Local Government area of Oyo State. Data were collected through the use of structured questionnaire which were administered to 76 respondents. Descriptive and multiple regression analysis were used to analyse the result of this study. Results showed that 85.8% of the respondents are male and 14.7% were female, 29.2% were between 31-40years, 70.7% of the respondents received information on climate change through neighbours and friends, 100% of the respondents relied on rainfall as a source of water to the farm, 92% made use of manual planting method, while 61.3% of the respondents perceived that climate change does not have absolute effect on cassava production, also majority 50.7% agreed that extension worker do not enhance productivity, major sources of climate change awareness are through radio and television. Regression result showed that labour used was negative and statistically significant at 1%, extension agents visit has a negative coefficient and significant at 5% while source of farm land and farm size has a positive relationship to cassava output in the study. Therefore, extension agent visit or contact should be improved in order to enhance or assist the farmer on how to militate against climatic change and also to help in the adoption of new technology by the farmers in the study area.

Contribution/ Originality
This study documents that the cassava farmers labour used could be capital intensive since majority of them used hired labour also decision to have a regular or consistence contact with extension agent could enhance the farmers to acquire basic training, awareness and knowledge intervention in climate change in the study.