71 research outputs found
Overcoming phosphorus deficiency in West African pearl millet and sorghum production systems: promising options for crop improvement
West Africa (WA) is among the most food insecure regions. Rapid human population growth and stagnating crop yields greatly contribute to this fact. Poor soil fertility, especially low plant available phosphorus (P) is constraining food production in the region. P-fertilizer use in WA is among the lowest in the world due to inaccessibility and high prices, often unaffordable to resource-poor subsistence farmers. This article provides an overview of soil P-deficiency in WA and opportunities to overcome it by exploiting sorghum and pearl millet genetic diversity. The topic is examined from the perspectives of plant breeding, soil science, plant physiology, plant nutrition, and agronomy, thereby referring to recent results obtained in a joint interdisciplinary research project, and reported literature. Specific objectives are to summarize: (1) The global problem of P scarcity and how it will affect WA farmers; (2) Soil P dynamics in WA soils; (3) Plant responses to P deficiency; (4) Opportunities to breed for improved crop adaptation to P-limited conditions; (5) Challenges and trade-offs for improving sorghum and pearl millet adaptation to low-P conditions in WA; and (6) Systems approaches to address soil P-deficiency in WA. Sorghum and pearl millet in WA exhibit highly significant genetic variation for P-uptake efficiency, P-utilization efficiency, and grain yield under P-limited conditions indicating the possibility of breeding P-efficient varieties. Direct selection under P-limited conditions was more efficient than indirect selection under high-P conditions. Combining P-uptake and P-utilization efficiency is recommendable for WA to avoid further soil mining. Genomic regions responsible for P-uptake, P-utilization efficiency, and grain yield under low-P have been identified in WA sorghum and pearl millet, and marker-assisted selection could be possible once these genomic regions are validated. Developing P-efficient genotypes may not, however, be a sustainable solution in itself in the long-term without replenishing the P removed from the system in harvested produce. We therefore propose the use of integrated soil fertility management and systems-oriented management such as enhanced crop-tree-livestock integration in combination with P-use-efficiency-improved varieties. Recycling P from animal bones, human excreta and urine are also possible approaches toward a partially closed and efficient P cycle in WA
Identifying famers' preferences and constraints to Pearl Millet production in the Sahel and North-Sudan zones of Burkina Faso
Massive sorghum collection genotyped with SSR markers to enhance use of global genetic resources
Biological Nitrification Inhibition—A Novel Strategy to Regulate Nitrification in Agricultural Systems
Human activity has had the single largest influence on the global nitrogen (N) cycle by introducing unprecedented amounts of reactive-N into ecosystems. A major portion of this reactive-N, applied as fertilizer to crops, leaks into the environment with cascading negative effects on ecosystem functions and contributes to global warming. Natural ecosystems use multiple pathways of the N-cycle to regulate the flow of this element. By contrast, the large amounts of N currently applied in agricultural systems cycle primarily through the nitrification process, a single inefficient route that allows much of the reactive-N to leak into the environment. The fact that present agricultural systems do not channel this reactive-N through alternate pathways is largely due to uncontrolled soil nitrifier activity, creating a rapid nitrifying soil environment. Regulating nitrification is therefore central to any strategy for improving nitrogen-use efficiency. Biological nitrification inhibition (BNI) is an active plant-mediated natural function, where nitrification inhibitors released from plant roots suppress soil-nitrifying activity, thereby forcing N into other pathways. This review illustrates the presence of detection methods for variation in physiological regulation of BNI-function in field crops and pasture grasses and analyzes the potential for its genetic manipulation. We present a conceptual framework utilizing a BNI-platform that integrates diverse crop science disciplines with ecological principles. Sustainable agriculture will require development of production systems that include new crop cultivars capable of controlling nitrification (i.e., high BNI-capacity) and improved agronomic practices to minimize leakage of reactive-N during the N-cycle, a critical requirement for increasing food production while avoiding environmental damage
Field evaluation of drought tolerance QTL effects on phenotype and adaptation in pearl millet [Pennisetum glaucum (L.) R. Br.] topcross hybrids
Development of a High-Density Linkage Map and Tagging Leaf Spot Resistance in Pearl Millet Using Genotyping-by-Sequencing Markers
Pearl millet [Pennisetum glaucum (L.) R. Br; also Cenchrus americanus (L.) Morrone] is an important crop throughout the world but better genomic resources for this species are needed to facilitate crop improvement. Genome mapping studies are a prerequisite for tagging agronomically important traits. Genotyping-by-sequencing (GBS) markers can be used to build high-density linkage maps, even in species lacking a reference genome. A recombinant inbred line (RIL) mapping population was developed from a cross between the lines ‘Tift 99D2B1’ and ‘Tift 454’. DNA from 186 RILs, the parents, and the F1 was used for 96-plex ApeKI GBS library development, which was further used for sequencing. The sequencing results showed that the average number of good reads per individual was 2.2 million, the pass filter rate was 88%, and the CV was 43%. High-quality GBS markers were developed with stringent filtering on sequence data from 179 RILs. The reference genetic map developed using 150 RILs contained 16,650 single-nucleotide polymorphisms (SNPs) and 333,567 sequence tags spread across all seven chromosomes. The overall average density of SNP markers was 23.23 SNP/cM in the final map and 1.66 unique linkage bins per cM covering a total genetic distance of 716.7 cM. The linkage map was further validated for its utility by using it in mapping quantitative trait loci (QTLs) for flowering time and resistance to Pyricularia leaf spot [Pyricularia grisea (Cke.) Sacc.]. This map is the densest yet reported for this crop and will be a valuable resource for the pearl millet community
Improving straw quality traits through QTL mapping and marker-assisted selection in pearl millet
Response to recurrent selection for stover feeding value in pearl millet variety ICMV 221
The objectives of the present work were threefold: first, to determine the ranges of grain and stover yields and stover quality traits in full-sib progenies of pearl millet cultivar ICMV 221; second, to assess changes in grain and stover characteristics in trait-specific experimental varieties generated by random-mating selected subsets of these full-sib progenies; and third, to compare laboratory estimates of stover quality traits used for selection among progenies in the full-sib population with direct measurements of stover quality traits obtained through animal feeding trials, using stover samples from replicated field trials of the experimental varieties
Evaluation of Stay-Green QTL Introgression Lines for Drought Tolerance in Sorghum [Sorghum bicolor (L). Moench]
Stay-green QTL introgression lines (plus the parents and checks) were evaluated during the 2004/05 and 2005/06 post-rainy sorghum cropping season at the International Crops Research Institute for the Semi Arid Tropics (ICRISAT), Patancheru, India. The staygreen introgression lines (BC2F2/BC1F3) were field evaluated for their agronomic and stay-green related characters under well watered and water-stress conditions. The introgression lines had high green leaf area (%) and chlorophyll content compared with the senescent lines showing the relationships among these traits. Moreover, many of the introgression lines had grain yields statistically similar to grain yields of the recurrent parent (R16). The introgression lines such as RSG04001 were good both in terms of green leaf area (%) and grain yield indicating the contribution of stay green to grain yield. This has also been evidenced by the highly significant (R2 = 0.47 in 2004/05 and R2 = 0.77 in 2005/06) correlations of relative grain yield to relative green leaf area (%) in the moisture stress environments. Overall, the results showed promise for utilization of the stay-green trait for better grain yield in drought-prone environments.  
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