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Books on the topic 'Maize yield'

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Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

Hossain, Mohammad Anwar, Mobashwer Alam, Saman Seneweera, Sujay Rakshit, and Robert Henry, eds. Molecular breeding in wheat, maize and sorghum: strategies for improving abiotic stress tolerance and yield. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789245431.0000.

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Abstract This book contains 29 chapters focusing on wheat, maize and sorghum molecular breeding. It aims to contribute the latest understandings of the molecular and genetic bases of abiotic stress tolerance, yield and quality improvement of wheat, maize and sorghum to develop strategies for improving abiotic stress tolerance that will lead to enhance productivity and better utilization of natural resources to ensure food security through modern breeding.

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2

Larrabee, James. NOAA-AISC user's guide for implementing CERES-maize model for large area yield estimation: Yield model development. [Washington, D.C.]: U.S. Dept. of Agriculture, 1985.

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3

Subedi, K. Assessment of the major yield limiting constraints of maize production at Lumle condition.. Pokhara: Lumle Regional Agricultural Research Centre, 1994.

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4

Gollin, Douglas. Impacts of international research on intertemporal yield stability in wheat and maize: An economic assessment. Mexico, D.F: CIMMYT, 2006.

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5

Bourke, Michael J. Evaluation of the Feeding Value of Maize Silage and Grass Silage for Dairy Cows. Dublin: University College Dublin, 1998.

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6

Fitzsimmons, R. W. Summer crop production statistics NSW 1922-1989: Maize, sorghum, rice, lucerne : area production and yield NSW by local government areas. Wahroonga, N.S.W: Australian Institute of Agricultural Science, 1991.

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7

Vaidya, A. K. Yield estimation and production systems analysis of summer maize with reference to adoption and farm management issues in the Extension Command Area (1992-1993).. Pokhara: Lumle Regional Agricultural Research Centre, 1996.

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8

Ologunde, O. O. Two decades of agronomic research on yield improvement of sole crop maize (Zea mays L.) in the Savanna ecological zone of nothern Nigeria: A review. Zaria, Nigeria: Institute for Agricultural Research, Samaru, Ahmadu Bello University, 1987.

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9

Benson, Todd David. The 1995/96 fertilizer verification trial--Malawi: Hybrid maize yields by treatment, national report. [Lilongwe]: The Ministry, 1997.

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10

Improved inputs use and productivity in Uganda's maize sub-sector. Kampala, Uganda: Economic Policy Research Centre, 2010.

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11

Mwabu, Germano M. Does adoption of improved maize varieties reduce poverty?: Evidence from Laikipia and Suba Districts in Kenya. Nairobi, Kenya: Kenya Institute for Public Policy Research and Analysis, 2008.

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12

Rugege, Denis. Regional analysis of maize-based land use systems for early warning applications. Enschede, Netherlands: ITC, 2002.

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13

Lordan, Seamus. Factors affecting production, composition and feeding value of maize silage. Dublin: University College Dublin, 1999.

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14

Quiring, Steven M. Developing a real-time agricultural drought monitoring system for Delaware. Middletown, Del: Legates Consulting, 2004.

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15

Melinda, Smale, ed. Farmers, gene banks and crop breeding: Economic analyses of diversity in wheat, maize, and rice. Bostons: Kluwer Academic, 1998.

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16

Environmental and Management Factor Contributions to Maize Yield. MDPI, 2019. http://dx.doi.org/10.3390/books978-3-03897-613-4.

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17

T, Hodges, United States. Dept. of Agriculture, and United States. National Aeronautics and Space Administration, eds. NOAA-AISC user's guide for implementing CERES-maize model for large area yield estimation: Yield model development. [Washington, D.C.]: U.S. Dept. of Agriculture, 1985.

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18

Wani, Shabir Hussain, Gyanendra Pratap Singh, and Zahoor Ahmad Dar. Maize Improvement: Current Advances in Yield, Quality, and Stress Tolerance under Changing Climatic Scenarios. Springer International Publishing AG, 2023.

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19

Henry, Robert, Mohammad Anwar Hossain, Sujay Rakshit, Mobashwer Alam, and Saman Seneweera. Molecular Breeding in Wheat, Maize and Sorghum: Strategies for Improving Abiotic Stress Tolerance and Yield. CABI, 2021.

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20

Kagho, Fidele Tetio. Influence of plant density and intercropping on maize and soybean growth, light interception, yield, and efficiency indices. 1987.

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21

Wokabi, Stanley Mwangi. Quantified land evaluation for maize yield gap analysis: At three sites on the eastern slope of Mount Kenya (ITC publication). ITC, International Institute for Aerospace Survey and Earth Sciences, 1994.

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22

Ali, Safdar. Growth, yield and water use of rainfed wheat and maize influenced by tillage and fertilizer in Pothwar, Pakistan. 1993.

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23

Applied crop physiology: understanding the fundamentals of grain crop management. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789245950.0000.

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Abstract This book contains 5 chapters that presents a simple, straightforward discussion of the principles and processes involved in the production of grain yield by agronomic crops, and how these processes underlie and influence management decisions. The focus is on grain crops, principally maize and soybean, although the general principles apply equally well to cereals, grain legumes and oil crops. Management decisions define all cropping systems - what (crop species, variety), where (climate), when (planting date), and how (row spacing and population density) are the fundamental choices. Knowledge of the fundamental processes responsible for plant growth and the accumulation of yield simplifies the decision-making process and leads to improved management decisions, higher grain yields, and cropping systems that are efficient, resilient and sustainable. The contents include basic plant growth processes (e.g. photosynthesis, respiration, evapotranspiration); growth and production of yield; crop management (seed quality, variety selection, planting date, row spacing); and crop production in the future (climate change, GMOs, precision agriculture and new crops). This books is intended for researchers in crop science, agronomy and plant science, and crop production practitioners. This book will enable readers to make better, more informed management decisions; decisions that will help maintain a well-fed world in the future.

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24

Report on area, yield, and production of groundnuts, rice, and maize for the 1986/87 crop production season in Sierra Leone. [Sierra Leone]: Planning, Evaluation, Monitoring & Services Division, MANRF, 1987.

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25

(Editor), Maria Elena Otegui, and Gustavo A. Slafer (Editor), eds. Physiological Bases for Maize Improvement. Haworth Press, 2000.

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26

The assessment and evaluation of national maize competition: Report. Mbabane: The Section, the Ministry, 1998.

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27

Wambugu, Stephen K., Joseph T. Karugia, and Willis Oluoch-Kosura. Technology Use, Gender, and Impact of Non-Farm Income on Agricultural Investment: An Empirical Analysis of Maize Production in Two Regions of Kenya. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799283.003.0010.

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This chapter examines maize productivity, technology use in maize, and the impact of non-farm income (NFI) on agricultural investment in Kenya, giving them a gender dimension. The study first concludes that there are no significant differences in maize yields between male-managed farms and female-managed farms (FMFs) in the study areas, Nyeri and Kakamega. Second, technology use for maize production was lower and significant in some instances for FMFs. Significant differences, especially in the use of hybrid seeds and tractor ploughs, were noted. A third conclusion is that NFI is not used in farm investment. NFI had negative coefficients on adoption and intensity of agricultural input use. Policies that encourage both farm and non-farm income should be instituted given the complementary roles that they play. Any entry barriers for disadvantaged households, especially for the FMFs, to participate in higher-paying non-farm activities need to be overcome.

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28

Raj, Paudyal Kamal, International Maize and Wheat Improvement Center., and National Agricultural Research Center (Nepal), eds. Maize in Nepal: Production systems, constraints, and priorities for research. Kathmandu: NARC, 2001.

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29

A, Howard Julie, and Mozambique. Direcção Nacional de Economia Agrária., eds. Comparing yields and profitability in MADER's high- and low-input maize programs: 1997/98 survey results and analysis. [Maputo] Republic of Mozambique: Ministry of Agriculture and Rural Development, Directorate of Economics, 2000.

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30

Kalumbi, Doyle Mudala Alfred. A production function analysis of maize farming in Dowa West Rural Development Project of the Kasungu Agricultural Development Division of Central Malawi. 1990.

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31

Smale, Melinda. Farmers Gene Banks and Crop Breeding: Economic Analyses of Diversity in Wheat Maize and Rice. Springer London, Limited, 2012.

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32

Smale, Melinda. Farmers, Gene Banks and Crop Breeding: Economic Analyses of Diversity in Wheat, Maize, and Rice. Springer US, 2010.

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