1 |
The performance of maize (Zea mayz, L.) inbred lines under different moisture and nitrogen levelsBias, Calisto A. L. F. January 2000 (has links)
No description available.
|
2 |
Species selection for alley cropping in Western Kenya : system management, nutrient use efficiency and tree-crop compatibility (1988-1995)Heineman, Arne M. January 1996 (has links)
No description available.
|
3 |
Salinity Rates and Agricultural Productivity at Robert's Great House, Chaco Canyon, New MexicoThress, Jessica 28 June 2016 (has links)
No description available.
|
4 |
Milho e Brachiaria decumbens em sistemas de integração lavoura-pecuáriaCruz, Simério Carlos Silva [UNESP] 20 June 2007 (has links) (PDF)
Made available in DSpace on 2014-06-11T19:22:16Z (GMT). No. of bitstreams: 0
Previous issue date: 2007-06-20Bitstream added on 2014-06-13T19:27:21Z : No. of bitstreams: 1
cruz_cs_me_botfca.pdf: 432313 bytes, checksum: 67b704c172a7ce4307b2fa05c723a8bc (MD5) / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / The search for an ecologically sustainable and economically viable agriculture is growing through the years. Conservation tillages and production systems that aim maximizing soil and water use in a sustainable form, has becoming alternatives, mainly for regions that have relatively short periods of rain and high temperatures. The objective of this research was to evaluate intercropping systems with maize and Brachiaria that has better adaptation to the edaphoclimatic conditions in Zona da Mata region, State of Alagoas. The experiment was conducted in 2005, in the experimental area of Campus Delza Gitaí belonging to the Centro de Ciências Agrárias - CECA, Universidade Federal de Alagoas - UFAL. The treatments consisted of a BRS 3150 hybrid of maize, cultivated in the systems: 1) Conventional Cropping, 2) Minimum Cultivation and 3) No-tillage (BRS 3150 intercropped with Brachiaria decumbens). The randomized block design was used, with subdivided splots and four replications, with an area of 44.8 m2 (6.4 x 7 m) for each subplot. During maize flowering period, it was measured plant height, stem diameter and number of photosynthetic active leaves; for these evaluations... (Complete abstract click electronic access below)
|
5 |
An economic study of maize production on irrigation schemes in LebowaMachethe, Charles Lepepeule January 1985 (has links)
Thesis (M.Sc. (Agriculture)) --University of the North, 1985 / Refer to the document / University of the North,
HSRC (Human Science Research Council), and
Lebowa Project Committee
|
6 |
Technical efficiency in maize production by small-scale farmers in Ga-Mothiba, Limpopo Province, South AfricaBaloi, Rebecca Tshilambilu January 2011 (has links)
Thesis (MSc. (Agriculture)) --University of Limpopo, 2011 / Maize is the most important cereal crop grown in South Africa. This crop is
produced throughout the country under diverse environments. The study only
focuses on the technical efficiency because it is an important subject in
developing agriculture where resources are limited, but high population growth is
very common. Technical efficiency is the ability of a farmer to obtain output from
a given set of physical inputs. Farmers have a tendency of under and/or overutilising
the factors of production.
The main aim of this study was to analyse the technical efficiency of small-scale
maize producers in Ga-Mothiba rural community of Limpopo Province. The
objective of the study was to determine the level of technical efficiency of smallscale
maize producers and to identify the socio-economic characteristics that
influence technical efficiency of small-scale maize producers in Ga-Mothiba.
Purposive and Snowball sampling techniques were used to collect primary data
from 120 small-scale farmers. Cobb-Douglas production function was used to
determine the level of technical efficiency and Logistic regression model was
used to analyse the variables that have influence the technical efficiency of
maize production.
Cobb-Douglas results reveal that small-scale farmers in Ga-Mothiba are
experiencing technical inefficiency in maize production due to the decreasing
return to scale, which means they are over-utilising factors of production. Logistic
regression results indicate that out of 13 variables included in the analysis as
socio-economic factors, 10 of them (level of education, income of the household
on monthly basis, farmer`s farming experience, farm size, cost of tractor hours,
fertiliser application, purchased hybrid maize seeds, membership to farmers`
organisation, is maize profitable) were found to be significant and 3 (gender, age
and hired labour) are non-significant. However, farm size was found to be the
vi
most significant variable at 99% level, showing a positive relationship to smallscale
maize producer`s technical efficiency.
Therefore, it is recommended that government should do the on-farm training
since farmers mainly depend on trial and error and farmers` should have access
to enough arable land and tractor services. However, farmers need to be trained
on matters relating to fertiliser application, on the amount of seeds a farmer
should apply per ha, and the importance of using hybrid seed.
|
7 |
Technical effeciency in maize production by small-scale farmers in Ga-Mothiba, Limpopo Province, South AfricaBaloyi, Rebecca Tshilambilu January 2011 (has links)
Thesis (M.Agric. (Agricultural Economics)) --University of Limpopo, 2011 / Maize is the most important cereal crop grown in South Africa. This crop is produced throughout the country under diverse environments. The study only focuses on the technical efficiency because it is an important subject in developing agriculture where resources are limited, but high population growth is very common. Technical efficiency is the ability of a farmer to obtain output from a given set of physical inputs. Farmers have a tendency of under and/or over- utilising the factors of production.
The main aim of this study was to analyse the technical efficiency of small-scale maize producers in Ga-Mothiba rural community of Limpopo Province. The objective of the study was to determine the level of technical efficiency of small- scale maize producers and to identify the socio-economic characteristics that influence technical efficiency of small-scale maize producers in Ga-Mothiba. Purposive and Snowball sampling techniques were used to collect primary data from 120 small-scale farmers. Cobb-Douglas production function was used to determine the level of technical efficiency and Logistic regression model was used to analyse the variables that have influence the technical efficiency of maize production.
Cobb-Douglas results reveal that small-scale farmers in Ga-Mothiba are experiencing technical inefficiency in maize production due to the decreasing return to scale, which means they are over-utilising factors of production. Logistic regression results indicate that out of 13 variables included in the analysis as socio-economic factors, 10 of them (level of education, income of the household on monthly basis, farmer`s farming experience, farm size, cost of tractor hours, fertiliser application, purchased hybrid maize seeds, membership to farmers` organisation, is maize profitable) were found to be significant and 3 (gender, age and hired labour) are non-significant. However, farm size was found to be the most significant variable at 99% level, showing a positive relationship to small- scale maize producer`s technical efficiency.Therefore, it is recommended that government should do the on-farm training since farmers mainly depend on trial and error and farmers` should have access to enough arable land and tractor services. However, farmers need to be trained on matters relating to fertiliser application, on the amount of seeds a farmer should apply per ha, and the importance of using hybrid seed.
|
8 |
Technical effeciency in maize production by small-scale farmers in Ga-Mothiba, Limpopo Province, South AfricaBaloyi, Rebecca Tshelambilu January 2011 (has links)
Thesis (M.Sc. Agric.) --University of Limpopo, 2011 / Maize is the most important cereal crop grown in South Africa. This crop is produced throughout the country under diverse environments. The study only focuses on the technical efficiency because it is an important subject in developing agriculture where resources are limited, but high population growth is very common. Technical efficiency is the ability of a farmer to obtain output from a given set of physical inputs. Farmers have a tendency of under and/or over- utilising the factors of production.
The main aim of this study was to analyse the technical efficiency of small-scale maize producers in Ga-Mothiba rural community of Limpopo Province. The objective of the study was to determine the level of technical efficiency of small- scale maize producers and to identify the socio-economic characteristics that influence technical efficiency of small-scale maize producers in Ga-Mothiba. Purposive and Snowball sampling techniques were used to collect primary data from 120 small-scale farmers. Cobb-Douglas production function was used to determine the level of technical efficiency and Logistic regression model was used to analyse the variables that have influence the technical efficiency of maize production.
Cobb-Douglas results reveal that small-scale farmers in Ga-Mothiba are experiencing technical inefficiency in maize production due to the decreasing return to scale, which means they are over-utilising factors of production. Logistic regression results indicate that out of 13 variables included in the analysis as socio-economic factors, 10 of them (level of education, income of the household on monthly basis, farmer`s farming experience, farm size, cost of tractor hours, fertiliser application, purchased hybrid maize seeds, membership to farmers` organisation, is maize profitable) were found to be significant and 3 (gender, age and hired labour) are non-significant. However, farm size was found to be the
most significant variable at 99% level, showing a positive relationship to small- scale maize producer`s technical efficiency.
Therefore, it is recommended that government should do the on-farm training since farmers mainly depend on trial and error and farmers` should have access to enough arable land and tractor services. However, farmers need to be trained on matters relating to fertiliser application, on the amount of seeds a farmer should apply per ha, and the importance of using hybrid seed.
|
9 |
Exploiting Historical Data and Diverse Germplasm to Increase Maize Grain Yield in TexasBarrero Farfan, Ivan D. 16 December 2013 (has links)
The U.S. is the largest maize producer in the world with a production of 300 million tons in 2012. Approximately 86% of the maize production is focused on the Midwestern states. The rest of the production is focused in the Southern states, where Texas is the largest maize producer. Grain yield in Texas ranges from 18 tons/ha in the irrigated production zones to 3 tons/ha in the dryland production zones. As a result, grain yield has increased slowly because of the poor production in the non-irrigated acres. Methods to improve the grain yield in Texas is to breed for maize varieties adapted to Texas growing conditions, including mapping genes that can be incorporated into germplasm through marker assisted selection. This dissertation includes two separate projects that exploit historical data and maize diversity to increase grain yield in Texas.
For the first project, a large dataset collected by Texas AgriLife program was analyzed to elucidate past trends and future hints on how to improve maize yield within Texas. This study confirmed previous reports that the rate of increase for grain yield in Texas is less than the rate observed in the Midwestern US.
For the second project, a candidate gene and whole genome association mapping analysis was performed for drought and aflatoxin resistance in maize. In order to do so, maize inbred lines from a diversity panel were testcrossed to isogenic versions of Tx714. The hybrids were evaluated under irrigated and non-irrigated conditions. The irrigated trials were inoculated with Aspergillus flavus and the aflatoxin level was quantified. This study found that the gene ZmLOX4 was associated with days to silk, and the gene ZmLOX5 gene was associated with plant and ear height. In addition, this study identified 13 QTL variants for grain yield, plant height, days to anthesis and days to silk. Furthermore, this study shows that diverse maize inbred lines can make hybrids that out yield commercial hybrids under heat and drought stress. Therefore, there are useful genes present in these diverse lines that can be exploited in maize breeding programs
|
10 |
Milho e Brachiaria decumbens em sistemas de integração lavoura-pecuária /Cruz, Simério Carlos Silva, 1983- January 2007 (has links)
Orientador: Silvio José Bicudo / Banca: Abel Washington de Albuquerque / Banca: José Roberto Santos / Abstract: The search for an ecologically sustainable and economically viable agriculture is growing through the years. Conservation tillages and production systems that aim maximizing soil and water use in a sustainable form, has becoming alternatives, mainly for regions that have relatively short periods of rain and high temperatures. The objective of this research was to evaluate intercropping systems with maize and Brachiaria that has better adaptation to the edaphoclimatic conditions in "Zona da Mata" region, State of Alagoas. The experiment was conducted in 2005, in the experimental area of "Campus Delza Gitaí" belonging to the "Centro de Ciências Agrárias - CECA, Universidade Federal de Alagoas - UFAL". The treatments consisted of a BRS 3150 hybrid of maize, cultivated in the systems: 1) Conventional Cropping, 2) Minimum Cultivation and 3) No-tillage (BRS 3150 intercropped with Brachiaria decumbens). The randomized block design was used, with subdivided splots and four replications, with an area of 44.8 m2 (6.4 x 7 m) for each subplot. During maize flowering period, it was measured plant height, stem diameter and number of photosynthetic active leaves; for these evaluations... (Complete abstract click electronic access below) / Mestre
|
Page generated in 0.1363 seconds