東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Evaluating the nutritional impact of...

Gunaratna, Nilupa S.

FindBook

Google Book

Amazon

博客來

Evaluating the nutritional impact of maize varieties genetically improved for protein quality.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Evaluating the nutritional impact of maize varieties genetically improved for protein quality./
作者:	Gunaratna, Nilupa S.
面頁冊數:	134 p.
附註:	Adviser: George P. McCabe.
Contained By:	Dissertation Abstracts International68-10B.
標題:	Health Sciences, Nutrition. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3287297
ISBN:	9780549303589

Evaluating the nutritional impact of maize varieties genetically improved for protein quality.
Gunaratna, Nilupa S.

Evaluating the nutritional impact of maize varieties genetically improved for protein quality. - 134 p.

Adviser: George P. McCabe.

Thesis (Ph.D.)--Purdue University, 2007.

Biofortification, or the genetic improvement of the nutritional quality of food crops, is a promising technology to combat childhood undernutrition in developing countries. Significant progress has been made to develop maize varieties with improved protein quality, collectively known as quality protein maize (QPM). However, debate still continues over whether this agricultural technology will have a significant public health impact. A four-level framework was proposed to evaluate the nutritional impact of QPM and biofortified crops. Using the results of community-level efficacy and effectiveness studies on QPM that have been conducted in several countries in Sub-Saharan Africa, Latin America, and Asia, a meta-analysis was performed to assess the effect of QPM on child growth. The results indicated that consumption of QPM compared with conventional maize varieties leads to an 8% (95% CI: 4-12%) increase in the rate of growth in height and a 9% (95% CI: 4-12%) increase in the rate of growth in weight in infants and toddlers with mild to moderate undernutrition for whom maize is a significant part of the diet. These results were not sensitive to alternative methods of determining the summary effect size and its statistical significance. However, the studies used to derive these estimates had several methodological limitations, and further community-level nutritional studies were recommended to provide stronger evidence on the efficacy and effectiveness of QPM. Simulation was used to study the potential impact of QPM on nutrient adequacy at the population level. Methods were developed to incorporate potential impact pathways for biofortified crops, allowing quantitative discrimination of scenarios of high and low impact. These methods were then used to examine factors that could modify the impact of a new crop. Simulation results indicate that impact depends on adoption and production patterns, composition of the total diet, variation in food consumption patterns, self-sufficiency in and sources of maize, disease, and other factors, as well as seasonal effects on the above. In particular, they highlight the importance of monitoring total diet and morbidity in targeting and impact assessment. These factors should be considered in the planning and implementation of biofortification programs.

ISBN: 9780549303589Subjects--Topical Terms:

1017801
Health Sciences, Nutrition.

Evaluating the nutritional impact of maize varieties genetically improved for protein quality.
LDR:03221nam 2200277 a 45 001 962799
005 20110830
008 110831s2007 ||||||||||||||||| ||eng d
020 $a 9780549303589
035 $a (UMI)AAI3287297
035 $a AAI3287297
040 $a UMI $c UMI
100 1 $a Gunaratna, Nilupa S. $3 1285860
245 1 0 $a Evaluating the nutritional impact of maize varieties genetically improved for protein quality.
300 $a 134 p.
500 $a Adviser: George P. McCabe.
500 $a Source: Dissertation Abstracts International, Volume: 68-10, Section: B, page: 6739.
502 $a Thesis (Ph.D.)--Purdue University, 2007.
520 $a Biofortification, or the genetic improvement of the nutritional quality of food crops, is a promising technology to combat childhood undernutrition in developing countries. Significant progress has been made to develop maize varieties with improved protein quality, collectively known as quality protein maize (QPM). However, debate still continues over whether this agricultural technology will have a significant public health impact. A four-level framework was proposed to evaluate the nutritional impact of QPM and biofortified crops. Using the results of community-level efficacy and effectiveness studies on QPM that have been conducted in several countries in Sub-Saharan Africa, Latin America, and Asia, a meta-analysis was performed to assess the effect of QPM on child growth. The results indicated that consumption of QPM compared with conventional maize varieties leads to an 8% (95% CI: 4-12%) increase in the rate of growth in height and a 9% (95% CI: 4-12%) increase in the rate of growth in weight in infants and toddlers with mild to moderate undernutrition for whom maize is a significant part of the diet. These results were not sensitive to alternative methods of determining the summary effect size and its statistical significance. However, the studies used to derive these estimates had several methodological limitations, and further community-level nutritional studies were recommended to provide stronger evidence on the efficacy and effectiveness of QPM. Simulation was used to study the potential impact of QPM on nutrient adequacy at the population level. Methods were developed to incorporate potential impact pathways for biofortified crops, allowing quantitative discrimination of scenarios of high and low impact. These methods were then used to examine factors that could modify the impact of a new crop. Simulation results indicate that impact depends on adoption and production patterns, composition of the total diet, variation in food consumption patterns, self-sufficiency in and sources of maize, disease, and other factors, as well as seasonal effects on the above. In particular, they highlight the importance of monitoring total diet and morbidity in targeting and impact assessment. These factors should be considered in the planning and implementation of biofortification programs.
590 $a School code: 0183.
650 4 $a Health Sciences, Nutrition. $3 1017801
650 4 $a Statistics. $3 517247
690 $a 0463
690 $a 0570
710 2 $a Purdue University. $b Statistics. $3 1279962
773 0 $t Dissertation Abstracts International $g 68-10B.
790 $a 0183
790 1 0 $a McCabe, George P., $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3287297