M. Essilfie, J. Ofosu-Anim, K. Dapaah, J. Norman, E. Blay
{"title":"Growth and Yield of Sweetpotato (Ipomoea batatas [L.] Lam) as Influenced by Chicken Manure and Inorganic Fertilizers","authors":"M. Essilfie, J. Ofosu-Anim, K. Dapaah, J. Norman, E. Blay","doi":"10.9734/ajea/2016/22440","DOIUrl":"https://doi.org/10.9734/ajea/2016/22440","url":null,"abstract":"","PeriodicalId":7714,"journal":{"name":"American Journal of Experimental Agriculture","volume":"52 1","pages":"1-20"},"PeriodicalIF":0.0,"publicationDate":"2016-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82206078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
H. Anyaegbunam, B. Okoye, J. O. Nwaekpe, M. Ejechi, P. Ajuka
The paper investigated the level of technical efficiency and its determinants in sweetpotato production in South-East agro-ecological zone of Nigeria. A multistage random sampling technique was used in the selection of states and respondents. Two states, Abia and Enugu were randomly selected from the five states of south-east agro-ecological zone (Abia, Anambra, Ebonyi, Enugu and Imo States). 120 respondents were randomly selected (60 respondents from each state). Data collecting instrument was a well-structured questionnaire. Stochastic frontier production function Original Research Article
{"title":"Technical Efficiency of Small-holder Sweetpotato Farmers in Southeast Agro-ecological Zone of Nigeria","authors":"H. Anyaegbunam, B. Okoye, J. O. Nwaekpe, M. Ejechi, P. Ajuka","doi":"10.9734/AJEA/2016/22057","DOIUrl":"https://doi.org/10.9734/AJEA/2016/22057","url":null,"abstract":"The paper investigated the level of technical efficiency and its determinants in sweetpotato production in South-East agro-ecological zone of Nigeria. A multistage random sampling technique was used in the selection of states and respondents. Two states, Abia and Enugu were randomly selected from the five states of south-east agro-ecological zone (Abia, Anambra, Ebonyi, Enugu and Imo States). 120 respondents were randomly selected (60 respondents from each state). Data collecting instrument was a well-structured questionnaire. Stochastic frontier production function Original Research Article","PeriodicalId":7714,"journal":{"name":"American Journal of Experimental Agriculture","volume":"138 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2016-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89149478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Despite the ban on importation of frozen poultry products in Nigeria, about 1.2 million tonnes unwholesome products are been smuggled into the country annually. This practice is impacting negatively on the health of the citizenry and local producers continue to face daunting obstacles posed by activities of smugglers. This study analyzed the factors influencing urban households’ Willingness To Pay (WTP) for Nigeria Processed Chicken (NPC) in Kwara State. Data used for the study were obtained from 274 respondents using the multi-stage sampling techniques. They were analyzed using descriptive statistics and Probit regression. From the study, it is seen that the majority of the respondents (54.7%) were fairly educated with mean year of schooling of 12.97. About 34.7% and 13.9% of the respondents had below N50,000 and above N200,000 respectively as their total monthly income. The result indicates that over 80% of the respondents claimed that NPC was not readily available while the mean distance to sales outlets stood at 3.21 km. The probit estimation of willingness to pay increased significantly with education and income and decrease with distance to sales outlets. It was recommended that policies that will enhance respondents’ purchasing power should be pursued in order to encourage them to pay for Nigeria processed chicken. Also, the creation of more sales outlets for NPC should be considered.
{"title":"Factors Influencing Consumers’ Willingness to Payfor Nigeria Processed Chicken in Kwara State","authors":"A. Adeyonu, E. O. Oyawoye, E. Fabiyi, A. Owolabi","doi":"10.9734/ajea/2016/22416","DOIUrl":"https://doi.org/10.9734/ajea/2016/22416","url":null,"abstract":"Despite the ban on importation of frozen poultry products in Nigeria, about 1.2 million tonnes \u0000unwholesome products are been smuggled into the country annually. This practice is impacting \u0000negatively on the health of the citizenry and local producers continue to face daunting obstacles \u0000posed by activities of smugglers. This study analyzed the factors influencing urban households’ \u0000Willingness To Pay (WTP) for Nigeria Processed Chicken (NPC) in Kwara State. Data used for the \u0000study were obtained from 274 respondents using the multi-stage sampling techniques. They were \u0000analyzed using descriptive statistics and Probit regression. From the study, it is seen that the \u0000majority of the respondents (54.7%) were fairly educated with mean year of schooling of 12.97. \u0000About 34.7% and 13.9% of the respondents had below N50,000 and above N200,000 respectively \u0000as their total monthly income. The result indicates that over 80% of the respondents claimed that \u0000NPC was not readily available while the mean distance to sales outlets stood at 3.21 km. The \u0000probit estimation of willingness to pay increased significantly with education and income and \u0000decrease with distance to sales outlets. It was recommended that policies that will enhance \u0000respondents’ purchasing power should be pursued in order to encourage them to pay for Nigeria \u0000processed chicken. Also, the creation of more sales outlets for NPC should be considered.","PeriodicalId":7714,"journal":{"name":"American Journal of Experimental Agriculture","volume":"216 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2016-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72998348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. A. Bougma, M. Ouédraogo, N. Sawadogo, M. Sawadogo
{"title":"Climate Change Effect on Pearl Millet [Pennisetum glaucum (L.) R. Br.] Genetic Variability in Burkina Faso","authors":"L. A. Bougma, M. Ouédraogo, N. Sawadogo, M. Sawadogo","doi":"10.9734/ajea/2016/25357","DOIUrl":"https://doi.org/10.9734/ajea/2016/25357","url":null,"abstract":"","PeriodicalId":7714,"journal":{"name":"American Journal of Experimental Agriculture","volume":"20 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2016-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79375649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hibstu Azeze, F. Mekbib, Yigzaw Dessalegn, Z. Tadele, Negussie Megersa
Aim: To assess the potentials and constraints of production and utilization of white lupin in the major growing areas and analyze the production, area coverage and productivity trend in Ethiopia. Study Design: Purposive sampling method was used to select districts and random sampling procedure followed to select respondents among white lupin producers. Methodology: Survey was conducted on Feb 2013 at Machakel and Banja districts of Eastern Gojjam and Awi Zones of Amhara Regional respectively. A sample size of 80 respondents for the two districts was used. The data was analyzed with SPSS 16.0 software, and descriptive statistics was used to interpret the results. In the trend analysis, three forecasting models such as linear trend model, quadratic trend model, and exponential growth model were used to find the best fitted model for area coverage, production, and productivity of white lupin. Forecasting errors namely mean absolute percentage error; mean absolute deviation and mean squared deviation were used as model selection criteria. Results: The study areas showed significant difference (p<0.001) for production and utilization practices. About 82.5% and 66.7% of the respondents at Banja and Machekel districts respectively replied on consumption of snack as supplementary food. Farmers produce the crop with minimum or no cultural practices. About (40%) respondents intercrop white lupin with other crops. Farmers use their own seeds; lack of production packages, late maturity, disease and stepwise postharvest processing are the major constraints. The quadratic model, due to its lowest values of the forecasting errors, was best fitted to predict the future estimate of area, production, and productivity of white lupin. Conclusion: If the current production practices remain unchanged, decreasing in total area coverage, production and productivity will continue. Therefore, for better utilization of this potential crop, the current indigenous farmers’ practices need to be supported by research based technologies of production and utilization.
{"title":"Challenges on Production and Utilization of White Lupin (Lupinus albus L.) in Ethiopia: A Strategic Orphan Crop","authors":"Hibstu Azeze, F. Mekbib, Yigzaw Dessalegn, Z. Tadele, Negussie Megersa","doi":"10.9734/AJEA/2016/27930","DOIUrl":"https://doi.org/10.9734/AJEA/2016/27930","url":null,"abstract":"Aim: To assess the potentials and constraints of production and utilization of white lupin in the major growing areas and analyze the production, area coverage and productivity trend in Ethiopia. \u0000Study Design: Purposive sampling method was used to select districts and random sampling procedure followed to select respondents among white lupin producers. \u0000Methodology: Survey was conducted on Feb 2013 at Machakel and Banja districts of Eastern Gojjam and Awi Zones of Amhara Regional respectively. A sample size of 80 respondents for the two districts was used. The data was analyzed with SPSS 16.0 software, and descriptive statistics was used to interpret the results. In the trend analysis, three forecasting models such as linear trend model, quadratic trend model, and exponential growth model were used to find the best fitted model for area coverage, production, and productivity of white lupin. Forecasting errors namely mean absolute percentage error; mean absolute deviation and mean squared deviation were used as model selection criteria. \u0000Results: The study areas showed significant difference (p<0.001) for production and utilization practices. \u0000About 82.5% and 66.7% of the respondents at Banja and Machekel districts respectively replied on consumption of snack as supplementary food. Farmers produce the crop with minimum or no cultural practices. About (40%) respondents intercrop white lupin with other crops. Farmers use their own seeds; lack of production packages, late maturity, disease and stepwise postharvest processing are the major constraints. The quadratic model, due to its lowest values of the forecasting errors, was best fitted to predict the future estimate of area, production, and productivity of white lupin. \u0000Conclusion: If the current production practices remain unchanged, decreasing in total area coverage, production and productivity will continue. Therefore, for better utilization of this potential crop, the current indigenous farmers’ practices need to be supported by research based technologies of production and utilization.","PeriodicalId":7714,"journal":{"name":"American Journal of Experimental Agriculture","volume":"8 1","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2016-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78592610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aims: The objective of this study was to evaluate the effect of foliar application of boron (B) on the grain set and yield of wheat (cv. Shatabdi). Study Design: The experiment was designed with six boron treatments, arranged in a randomized complete block design (RCBD) with three replications. Place and Duration of Study: The field trial was conducted at Bangladesh Agricultural University (BAU) farm, Mymensingh during 27 November 2010 to 24 March 2011. Methodology: The B treatments were (i) B control, (ii) soil application of B, (iii) seed priming into boric acid solution, (iv) foliar spray of B at primordial stage of crop, (v) foliar spray of B at booting stage and (vi) foliar spray of B at primordial and booting stages. The rate of B for soil application was 1.5 kg B ha from boric acid (17% B) and the rate for each foliar spray was 0.4% boric acid solution. Seed priming was done by soaking wheat seeds into 0.1% boric acid solution for 10 hours and then seeds were dried before sowing. Every plot received 115 kg N, 25 kg P, 75 kg K and 15 kg S per hectare from urea, TSP, MoP and gypsum, respectively. Original Research Article Fakir et al.; AJEA, 12(2): 1-8, 2016; Article no.AJEA.24286 2 Results: The treatment receiving foliar spray of B at both primordial and booting stages of the crop performed the highest yield (3630 kg ha) which was statistically similar with the yield recorded with foliar spray of B at booting or primordial stage of crop and with soil application of B before crop (wheat) was sown; all the yields were significantly higher over the yield noted with seed priming or control treatment. The control treatment (no B application) had the lowest grain yield (2600 kg ha) which was significantly lower than the yield observed with the seed priming treatment. Conclusion: Wheat yield was affected due to grain set failure induced by boron deficiency and it was possible to overcome this element deficiency by soil application at 1.5 kg B ha or foliar application of 0.4% boric acid solution at primordial or booting stage of crop.
目的:评价叶面施硼(B)对小麦籽粒结实和产量的影响。Shatabdi)。研究设计:试验设计6个硼处理，采用随机完全区组设计(RCBD)， 3个重复。研究地点和时间:田间试验于2010年11月27日至2011年3月24日在Mymensingh的孟加拉国农业大学(BAU)农场进行。方法:B种处理为(i) B对照，(ii) B土壤施用，(iii)硼酸溶液灌种，(iv)作物初生期叶面喷施B， (v)孕穗期叶面喷施B， (vi)初生期和孕穗期叶面喷施B。硼酸溶液(17%)土壤施硼量为1.5 kg bha，每次叶面喷施硼量为0.4%。将小麦种子浸泡在0.1%硼酸溶液中10小时，晾干后播种。每个地块每公顷分别从尿素、总磷、MoP和石膏中获得115 kg N、25 kg P、75 kg K和15 kg S。Fakir等;农业工程学报，12(2):1-8,2016;文章no.AJEA。结果:在作物初生期和孕穗期同时叶面喷施B的处理产量最高(3630 kg hm2)，与在孕穗期或作物初生期叶面喷施B和在作物(小麦)播种前土壤喷施B的产量在统计学上相似;所有产量均显著高于灌种处理和对照处理。对照处理(不施B)籽粒产量最低(2600 kg hm2)，显著低于灌种处理。结论:缺硼影响小麦产量，在作物初生期或孕穗期土壤施硼量为1.5 kg / hm2或叶面施0.4%硼酸溶液可克服缺硼对籽粒结实的影响。
{"title":"Effects of Foliar Application of Boron (B) on the Grain Set and Yield of Wheat (Triticum aestivum L.)","authors":"O. Fakir, M. Rahman, M. Jahiruddin","doi":"10.9734/AJEA/2016/24286","DOIUrl":"https://doi.org/10.9734/AJEA/2016/24286","url":null,"abstract":"Aims: The objective of this study was to evaluate the effect of foliar application of boron (B) on the grain set and yield of wheat (cv. Shatabdi). Study Design: The experiment was designed with six boron treatments, arranged in a randomized complete block design (RCBD) with three replications. Place and Duration of Study: The field trial was conducted at Bangladesh Agricultural University (BAU) farm, Mymensingh during 27 November 2010 to 24 March 2011. Methodology: The B treatments were (i) B control, (ii) soil application of B, (iii) seed priming into boric acid solution, (iv) foliar spray of B at primordial stage of crop, (v) foliar spray of B at booting stage and (vi) foliar spray of B at primordial and booting stages. The rate of B for soil application was 1.5 kg B ha from boric acid (17% B) and the rate for each foliar spray was 0.4% boric acid solution. Seed priming was done by soaking wheat seeds into 0.1% boric acid solution for 10 hours and then seeds were dried before sowing. Every plot received 115 kg N, 25 kg P, 75 kg K and 15 kg S per hectare from urea, TSP, MoP and gypsum, respectively. Original Research Article Fakir et al.; AJEA, 12(2): 1-8, 2016; Article no.AJEA.24286 2 Results: The treatment receiving foliar spray of B at both primordial and booting stages of the crop performed the highest yield (3630 kg ha) which was statistically similar with the yield recorded with foliar spray of B at booting or primordial stage of crop and with soil application of B before crop (wheat) was sown; all the yields were significantly higher over the yield noted with seed priming or control treatment. The control treatment (no B application) had the lowest grain yield (2600 kg ha) which was significantly lower than the yield observed with the seed priming treatment. Conclusion: Wheat yield was affected due to grain set failure induced by boron deficiency and it was possible to overcome this element deficiency by soil application at 1.5 kg B ha or foliar application of 0.4% boric acid solution at primordial or booting stage of crop.","PeriodicalId":7714,"journal":{"name":"American Journal of Experimental Agriculture","volume":"80 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2016-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77431047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Fonseca, Larisse Schmid, J. Medeiros, F. Mielezrski, Jaqueline Dalla Rosa
{"title":"Organic Fertilization: Answer in the Sugarcane Development (Saccharum officinarum L.)","authors":"K. Fonseca, Larisse Schmid, J. Medeiros, F. Mielezrski, Jaqueline Dalla Rosa","doi":"10.9734/ajea/2016/26474","DOIUrl":"https://doi.org/10.9734/ajea/2016/26474","url":null,"abstract":"","PeriodicalId":7714,"journal":{"name":"American Journal of Experimental Agriculture","volume":"7 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2016-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77643347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dhafir H. Al-Kaab, M. S. Hamdalla, I. Dweikat, N. J. Al-Saedi
DNA-based molecular markers such as Inter Simple Sequence Repeat (ISSR), Sequence-Related Amplified polymorphism (SRAP) and Random Amplified Polymorphic DNA (RAPD) were used in this study to examine the genetic differences among sixteen Iraqi wheat varieties. Seventy three primers out of 177 were reproducible and showed clear amplified bands. The degree of genetic diversity, Polymorphism information content (PIC) and resolving power (RP) were estimated. All the studied molecular markers were informative and showed good ability to classify and distinguish 16 wheat varieties. Total number of polymorphic bands is 134, 221 and 55 for ISSR, SRAP and RAPD respectively. PIC and RP values were 0.259, 0.264 and 0.262 and 9.06, 7.87 and 2.78 Original Research Article
{"title":"Estimation of the Degree of Diversity for Some Iraqi Wheat Varieties through ISSR, SRAP and RAPD Markers","authors":"Dhafir H. Al-Kaab, M. S. Hamdalla, I. Dweikat, N. J. Al-Saedi","doi":"10.9734/AJEA/2016/20371","DOIUrl":"https://doi.org/10.9734/AJEA/2016/20371","url":null,"abstract":"DNA-based molecular markers such as Inter Simple Sequence Repeat (ISSR), Sequence-Related Amplified polymorphism (SRAP) and Random Amplified Polymorphic DNA (RAPD) were used in this study to examine the genetic differences among sixteen Iraqi wheat varieties. Seventy three primers out of 177 were reproducible and showed clear amplified bands. The degree of genetic diversity, Polymorphism information content (PIC) and resolving power (RP) were estimated. All the studied molecular markers were informative and showed good ability to classify and distinguish 16 wheat varieties. Total number of polymorphic bands is 134, 221 and 55 for ISSR, SRAP and RAPD respectively. PIC and RP values were 0.259, 0.264 and 0.262 and 9.06, 7.87 and 2.78 Original Research Article","PeriodicalId":7714,"journal":{"name":"American Journal of Experimental Agriculture","volume":"32 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2016-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75224997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Bio-control Effect of Trichoderma asperellum (Samuels) Lieckf. and Glomus intraradices Schenk on Okra Seedlings Infected with Pythium aphanidermatum (Edson) Fitzp and Erwinia carotovora (Jones)","authors":"O. Idowu, O. Olawole, O. Idumu, A. Salami","doi":"10.9734/ajea/2016/21348","DOIUrl":"https://doi.org/10.9734/ajea/2016/21348","url":null,"abstract":"","PeriodicalId":7714,"journal":{"name":"American Journal of Experimental Agriculture","volume":"99 1","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2016-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75659159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assessment of Post-harvest Insect and Mould Infestation of Vigna subterranea","authors":"P. Nnaji, A. Akan","doi":"10.9734/AJEA/2016/24865","DOIUrl":"https://doi.org/10.9734/AJEA/2016/24865","url":null,"abstract":"","PeriodicalId":7714,"journal":{"name":"American Journal of Experimental Agriculture","volume":"42 1-2","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2016-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72608229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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