Contents 50 I. 50 II. 52 III. 54 IV. 55 V. 57 VI. 57 VII. 59 60 References 61 SUMMARY: As a consequence of an increase in world population, food demand is expected to grow by up to 110% in the next 30-35 yr. The population of sub-Saharan Africa is projected to increase by > 120%. In this region, cassava (Manihot esculenta) is the second most important source of calories and contributes c. 30% of the daily calorie requirements per person. Despite its importance, the average yield of cassava in Africa has not increased significantly since 1961. An evaluation of modern cultivars of cassava showed that the interception efficiency (ɛ ) of photosynthetically active radiation (PAR) and the efficiency of conversion of that intercepted PAR (ɛ ) are major opportunities for genetic improvement of the yield potential. This review examines what is known of the physiological processes underlying productivity in cassava and seeks to provide some strategies and directions toward yield improvement through genetic alterations to physiology to increase ɛ and ɛ . Possible physiological limitations, as well as environmental constraints, are discussed.

Download full-text PDF

Source
http://dx.doi.org/10.1111/nph.14250DOI Listing

Publication Analysis

Top Keywords

yield potential
8
rooting cassava
4
cassava insights
4
insights photosynthesis
4
photosynthesis associated
4
associated physiology
4
physiology a route
4
a route improve
4
yield
4
improve yield
4

Similar Publications

Infant formulas are constantly being updated and upgraded, and N-glycans are functional glycans that have not been fully exploited to date. Commercial whey protein materials are often used as basic ingredients in infant formulas. Therefore, it is important to study N-glycans in commercial whey protein materials.

View Article and Find Full Text PDF

Waxy maize is highly preferred diet in developing countries due to its high amylopectin content. Enriching amylopectin in biofortified maize meets food security and fulfils the demand of rising industrial applications, especially bioethanol. The mutant waxy1 (wx1) gene is responsible for increased amylopectin in maize starch, with a wide range of food and industrial applications.

View Article and Find Full Text PDF

Seed bacterization with siderophore-producing bacteria: a strategy to enhance growth and alkaloid content in Catharanthus roseus.

World J Microbiol Biotechnol

January 2025

Department of Biotechnology and Bioengineering, Institute of Advanced Research, Koba Institutional Area, Gandhinagar, Gujarat, 382426, India.

Catharanthus roseus is a medicinal plant widely known for producing monoterpenoid indole alkaloids (MIAs), including therapeutic compounds such as vinblastine and vincristine, which are crucial for cancer treatment. However, the naturally low concentration of these alkaloids in plant tissues poses a significant challenge for large-scale production. This study explores the application of siderophore-producing bacteria for seed bacterization of Catharanthus roseus to enhance the production of MIAs, including vindoline, catharanthine, and vinblastine.

View Article and Find Full Text PDF

Multi-omics analysis identified the GmUGT88A1 gene, which coordinately regulates soybean resistance to cyst nematode and isoflavone content.

Plant Biotechnol J

January 2025

Key Laboratory of Soybean Biology of Ministry of Education China, Key Laboratory of Soybean Biology and Breeding (Genetics) of Ministry of Agriculture and Rural Affairs, Northeast Agricultural University, Harbin, China.

Soybean cyst nematode (SCN, Heterodera glycines) is a major pathogen harmful to soybean all over the world, causing huge yield loss every year. Soybean resistance to SCN is a complex quantitative trait controlled by a small number of major genes (rhg1 and Rhg4) and multiple micro-effect genes. Therefore, the continuous identification of new resistant lines and genes is needed for the sustainable development of global soybean production.

View Article and Find Full Text PDF

This study aimed to develop and evaluate an efficient method to automatically segment T1- and T2-weighted brain magnetic resonance imaging (MRI) images. We specifically compared the segmentation performance of individual convolutional neural network (CNN) models against an ensemble approach to advance the accuracy of MRI-guided radiotherapy (RT) planning..

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!