Thirteen common bean (Phaseolus vulgaris) accessions collected from different ecological regions of Jammu and Kashmir were evaluated at four diverse locations during kharief 2009. Significant variation was observed for most of the morphological traits. Estimates of heritability (bs) were high (>60 %) for all the traits except pod length. The expected genetic gain (per cent of mean) was high (>30 %) for days to maturity, number of pods plant-1, number of seeds pod-1, 100-seed weight and seed yield plant-1 while it was moderate (10.0-30.0%) for days to 50 per cent flowering, number of branches plant-1, pod length and protein content. Seed yield plant-1 was observed to have a highly positive and significant correlation both at phenotypic and genotypic levels with number of pods plant-1, pod length, number of seeds pod-1 and 100-seed weight. But negative and significant correlations with days to 50 per cent flowering and days to maturity were estimated from pooled analysis. Classification of accessions led to the formation of two clusters wherein the maximum number 7 accessions were grouped in cluster I and the remaining six were grouped in cluster II. Analysis of traits contributing maximum to the divergence revealed that traits viz., 100-seed weight (37.10%), protein content (15.26%), number of seeds pod-1 (11.28%) and days to maturity (10.14%) to contribute to the divergence in the present experimental material.
Nematodes are non-segmented roundworms evenly distributed with various habitats ranging to approximately every ecological extremity. These are the least studied organisms despite being the most diversified group. Nematodes are the most critical equilibrium-maintaining factors, having implications on the yield and health of plants as well as well-being of animals. However, taxonomic knowledge about nematodes is scarce. As a result of the lack of precise taxonomic features, nematode taxonomy remains uncertain. Morphology-based identification has proved inefficacious in identifying and exploring the diversity of nematodes, as there are insufficient morphological variations. Different molecular and new evolving methodologies have been employed to augment morphology-based approaches and bypass these difficulties with varying effectiveness. These identification techniques vary from molecular-based targeting DNA or protein-based targeting amino acid sequences to methods for image processing. High-throughput approaches such as next-generation sequencing have also been added to this league. These alternative approaches have helped to classify nematodes and enhanced the base for increased diversity and phylogeny of nematodes, thus helping to formulate increasingly more nematode bases for use as model organisms to study different hot topics about human well-being. Here, we discuss all the methods of nematode identification as an essential shift from classical morphometric studies to the most important modern-day and molecular approaches for their identification. Classification varies from DNA/protein-based methods to the use of new emerging methods. However, the priority of the method relies on the quality, quantity, and availability of nematode resources and down-streaming applications. This paper reviews all currently offered methods for the detection of nematodes and known/unknown and cryptic or sibling species, emphasizing modern-day methods and budding molecular techniques.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.