Panicle transcriptome of high-yield mutant indica rice reveals physiological mechanisms and novel candidate regulatory genes for yield under reproductive stage drought stress.

Background: Reproductive stage drought stress (RDS) is a major global threat to rice production. Due to climate change, water scarcity is becoming an increasingly common phenomenon in major rice-growing areas worldwide. Understanding RDS mechanisms will allow candidate gene identification to generate novel rice genotypes tolerant to RDS.

Haplotype analysis of QTLs governing early seedling vigor-related traits under dry-direct-seeded rice (Oryza sativa L.) conditions.

Background: The eventual shifting of cultivation method from puddle transplanted rice to direct-seeded rice (DSR) to save water prompted researchers to develop DSR-suitable varieties. To achieve this, identification of molecular markers associated with must-have traits for DSR, especially early seedling vigour related traits is crucial.

Methods And Results: In the present investigation, the haplotype analysis using flanking markers of three important quantitative trait loci (QTLs) for early seedling vigour-related traits viz.

Identification of genomic regions governing moisture and heat stress tolerance employing association mapping in rice (Oryza sativa L.).

Background: Rice crop is damaged extremely by abiotic stress world-wide. The best approach to enhance drought tolerance in rice varieties is to identify and introgress yield QTLs with major effects. The Association mapping approach helps in the identification of genomic regions governing physiological, yield and yield attributes under moisture and heat stress conditions in diverse collections of crop germplasm, based on historic recombination events and linkage disequilibrium across the genome.

Yield-associated putative gene regulatory networks in Oryza sativa L. subsp. indica and their association with high-yielding genotypes.

Background: With the increase in population and economies of developing countries in Asia and Africa, the research towards securing future food demands is an imminent need. Among japonica and indica genotypes, indica rice varieties are largely cultivated across the globe. However, our present understanding of yield-contributing gene information stems mainly from japonica and studies on the yield potential of indica genotypes are limited.

Performance and Stability of Pearl Millet Varieties for Grain Yield and Micronutrients in Arid and Semi-Arid Regions of India.

Pearl millet [ (L.) R. Br.

A novel barcode system for rapid identification of rice (Oryza sativa L.) varieties using agro-morphological descriptors and molecular markers.

Rice varietal identification is a crucial aspect in breeding, seed production and trade in order to protect the interests of the farmers and consumers. As the number of varieties released is rising every year, the need to identify them unambiguously also increases. Here, we developed a novel barcode system to identify 62 rice genotypes using agro-morphological descriptors and molecular markers.

Discovery of genomic regions and candidate genes for grain weight employing next generation sequencing based QTL-seq approach in rice (Oryza sativa L.).

Rice (Oryza sativa L.) yield enhancement is one of the prime objectives of plant breeders. Elucidation of the inheritance of grain weight, a key yield component trait, is of paramount importance for raising the yield thresholds in rice.

Advances in Crop Improvement and Delivery Research for Nutritional Quality and Health Benefits of Groundnut ( L.).

Groundnut is an important global food and oil crop that underpins agriculture-dependent livelihood strategies meeting food, nutrition, and income security. Aflatoxins, pose a major challenge to increased competitiveness of groundnut limiting access to lucrative markets and affecting populations that consume it. Other drivers of low competitiveness include allergens and limited shelf life occasioned by low oleic acid profile in the oil.

Identification of differentially expressed genes under heat stress conditions in rice (Oryza sativa L.).

Rice production in recent years is highly affected by rapidly increasing temperatures in the tropical and sub-tropical countries, which threatens the sustainable production in near future. Hence, understanding the heat tolerance mechanism and evolving tolerant varieties is an immense need in the staple crop rice. An experiment has been conducted to identify differentially expressed genes in rice under heat stress conditions by employing a diverse set of 32 rice genotypes that includes reported heat tolerant genotypes Nagina 22 (N22) and Dular.

Steady expression of high oleic acid in peanut bred by marker-assisted backcrossing for fatty acid desaturase mutant alleles and its effect on seed germination along with other seedling traits.

Peanut (Arachis hypogaea L.) is an important nutrient-rich food legume and valued for its good quality cooking oil. The fatty acid content is the major determinant of the quality of the edible oil.

Uncovering of natural allelic variants of key yield contributing genes by targeted resequencing in rice (Oryza sativa L.).

In rice (Oryza sativa L.), during the course of domestication, numerous beneficial alleles remain untapped in the progenitor wild species and landraces. This study aims at uncovering these promising alleles of six key genes influencing the yield, such as DEP1, Ghd7, Gn1a, GS3, qSW5 and sd1 by targeted resequencing of the 200 rice genotypes.

Molecular breeding for introgression of fatty acid desaturase mutant alleles (ahFAD2A and ahFAD2B) enhances oil quality in high and low oil containing peanut genotypes.

High oleate peanuts have two marketable benefits, health benefits to consumers and extended shelf life of peanut products. Two mutant alleles present on linkage group a09 (ahFAD2A) and b09 (ahFAD2B) control composition of three major fatty acids, oleic, linoleic and palmitic acids which together determine peanut oil quality. In conventional breeding, selection for fatty acid composition is delayed to advanced generations.