<div style="text-align: justify;">Background: This article analysis 400 articles published in &ldquo;Bhartiya Krishi Anushandhan Patrika&rdquo; journal during 2016-2021 to ascertain year-wise distribution, authorship pattern, length of articles, subject categories and citation-wise distribution of articles. 
Methods: Bibliometrics is a set of methods used to study and measure the uses of documents and patterns of publication in which mathematical and statistical methods are applied.&nbsp; 
Result: We found a total contribution of 400 research outputs with the remarkable contribution of 1477 eminent scholars. The findings of the analysis represented that the maximum number of articles 75 with 18.75% sharing were published in 2016 and on the opposite hand the year 2020 got the minimum contribution got with merely 54 (13.50%) publications. The result of the study proved that joint authors contributed (380) to the majority of the publications. The study investigated, the minimum contribution average author per article 3.97 in the year 2017 and a minimum of 3.33 in the year 2021. The highest Author Productivity per year is 1.624. Veterinary Science got the first rank in the contribution of scientific research publication (97), Agronomy ranked second with 71 articles and extension education achieved the third rank with 40 contributions. It is noted that the maximum citation (4379 out of 955) were used in the year 2021.</div>

A Bibliometric Study of ‘‘Bhartiya Krishi Anushandhan Patrika’’ from 2016 to 2021

<div>Background: Benthic macro invertebrates have a sedentary and long life span, sensitive community response to organic loading, thermal impacts, substrate alteration and toxic pollution. They are regarded as the most informative bio indicators of water pollution. Macro invertebrates and water quality are interrelated to each other, as macro invertebrates are a potential indicator of water quality and therefore have been most frequently used in biomonitoring studies. 
 
Methods: The study area is the tailrace of Dikhow River, a 65 km. a southern tributary of the mighty river Brahmaputra. The stretch was demarcated into five sectors longitudinally. The study was done for a period of two years during which sampling collection was done using sampling methods. Appropriate sized net was used to sample macroinvertebrates. Identification was done using standard identification keys. Pollution tolerance of the species was measured using standard protocols. Using tolerance values, family biotic Indices were measured by Hilsenhoff standard protocols. 
 
Result: Number of pollution sensitive macroinvertebrates were found to be minimum in almost all stations indicating the level of pollution in the stations. Macroinvertebrates with higher tolerance levels were recorded in maximum numbercompared with the standard values to assess the water quality. A total of thirteen (13) species (Rhynchobdellasp, Physellasp, Soletelinasp, Gammarussp, Fenneropeneussp, Isotomussp, Caeniussp, Gomphussp, Lethocerussp, Hydrophylussp, Chaobarussp, Chironomussp) have been recorded during the study period. Among them the species with high pollution tolerance values were recorded in higher number during the study. While compared the family biotic indices as recorded from the stations with the standard data, then station I and station III have been found to&nbsp; be significant organic pollution and other three stations were found to be Fairly significant organic pollution.</div>

A Study of River Water Quality using Macroinvertebrates as Bio Indicator: A Case Study

Background: A potent instrument for quantitative evaluation in the context of academia and research is bibliometric analysis. It offers data-driven insights that support qualitative evaluations, facilitating decision-making and advancing knowledge of the academic environment as a whole. With this back ground work we selected legume research journal as on interest and performed bibliometric analysis. 
 
Methods: Bibliometric analysis of legume research is a systematic method of evaluating scholarly publications and their impact within a specific field of study from 2008 to 2023 (15 years). The analysis was done by using Bibliometrix tool using R Studio and R software. The study was conducted during July-November, 2023 at Tamil Nadu Agricultural University, Coimbatore, India. 
 
Result: Legume research journal have an h-index of 18, g index of 26 and h index of 1.3 based on local source impact. The analysis revealed that it has 2076 documents with growth rate of 7.37. Higher annual production was in 2022 with 236 articles and Tamil Nadu Agricultural University highly contributing institute. But according to author impact h index was for Kumar R with 9 with 11 publications in the year 2022 with citation score of 1.5. The most frequent word used in &lsquo;key word plus&rsquo; was Cicer arietinum (52 times) appeared in 10% of the documents and changes in the trend topics from bacteria in 2008 to Lens culinaris in 2023. Dhakal Y (58) has the highest global cited documents. Cicer arietinum, Vigna mungo and Pisum sativum were the basic themes. Gomez KA and Jakson ML was had highest co citation. India is most cited country with 3,783 citations and highest in production with 6,414 articles. Bangladesh to Malaysia (Frequency @12) have strongest collaboration between them. The bibliometric analysis concludes that there is an increasing interest in the study of legumes, which is consistent with the knowledge of the value of legumes for nutrition and sustainable agriculture. To further our understanding in these important areas, future research should investigate the influence of climate change on legume production, use multidisciplinary approaches, and solve identified gaps.

A Bibliometric Analysis (2008 to 2023) on Legume Research Journal-Uncovering Scientific Impact

Bibliometric analysis is a part of systematic review using quantitative analysis of the influential studies of the subject that inspires decision making and pool of knowledge for the academicians. Considering relevance and keeping this background in mind, this study reviews the existing literature about artificial intelligence in agricultural supply chain. Specifically, a bibliometric and VOS viewer analysis was conducted of the influential studies of the subject in terms of various aspects, such as authors, sources, countries/regions, keywords, subject areas, citation overview, co-authorship, co-occurrence analysis of all keywords, bibliographic coupling and co-citation of cited references of the Scopus database between 2004 and 2024. The major subject areas were Computer Science, Engineering, Agricultural and Biological Sciences, Business, Management and Accounting and Environmental Science. The most productive journals were Sustainability (Switzerland), Computers and Electronics in Agriculture and Hassoun A as the most contributors. India, China and UK were the top three contributing countries. Based on the findings, the current study makes suggestions for the research topics that could be influential for further research.&nbsp; 
&nbsp;

Artificial Intelligence in Supply Chain of Agricultural Products: A Bibliometric Review

Background: Climate change is the most critical and contentious issue confronting the globe today. Changes in rainfall patterns and temperature have already influenced the fisheries sector unfavourably. This bibliometric analysis examined the publications on climate change&rsquo;s effects on fisheries from 2008 to 2022, using Dimension-listed journals with DOIs. Keywords, authors, co-citations and journal trends are studied.&nbsp; 
 
Methods: A total of 180 research articles were analysed using Dimension (https://dimension.ai) with search terms&rsquo; climate change,&rsquo; &lsquo;fishery&rsquo;, &lsquo;fisheries&rsquo; and &lsquo;aquaculture&rsquo;. The dataset was updated on May 20, 2022. A bibliometric map was created using the R Biblioshiny package.&nbsp; 
 
Result: The number of articles discussing climate change and its influence on fisheries has risen dramatically. Several journals cover this topic, the most prominent of which is Fisheries Oceanography. Animals, fisheries, climate change, ecosystems and fishes are among the most often used keywords. Cheung WWL is the most prolific author and has published the most publications over the 15-year study period. Among countries, Canada has the most popular articles and China has the most authors. This research summarises the most popular authors, publications and keywords used in papers on climate change subjects. Furthermore, their impact on fisheries gives information to researchers interested in climate change research and its impact on fisheries. Finally, ample scope exists for developing adaptation strategies through insightful research and funding.

Bibliometric Investigation of Climate Change Literature in Fisheries using Dimensions.AI Database

Background: Agricultural residues are a significant part of the waste generated in India. It is challenging for farmers to manage surplus crop residue sustainably because of large production and limited options. Ultimately, most farmers burn crop residue without giving it a second thought. Besides affecting the environment, burning crop residues also reduces soil fertility, soil nutrient content and soil organic humus levels by releasing greenhouse gases.&nbsp; 
 
Methods: This study was conducted to identify surplus crop residues available and their current uses. Vidarbha region in Maharashtra was selected for the study and cotton, tur and soybean crops were selected since these are the most commonly grown crops there. A man-to-man survey was conducted to determine the type and amount of crop residue available and how it is currently being used. Three farmlands in the Vidarbha region of Maharashtra were selected for the study. Four different varieties of cotton, tur and soybean were grown on three farms. The yield and crop residue generated were measured per unit area. Analysis of crop residue availability was conducted using statistical methods.&nbsp; 
 
Result: Based on the study, it can be concluded that biomass waste is abundantly available and there is potential to generate bioenergy by utilizing agricultural waste effectively. Furthermore, the regression study shows that crop output is a major predictor of crop residue generated.

A Study of Generation and Regulation of Crop Residue: Bioenergy

<div>Background: Mudhol Hound the popular dog breed of Karnataka State, India has a long historical association with wars, hunting, social bondage, guarding and recently with the Indian army as a part of army&rsquo;s sniffer dog squad. Despite its unique qualities, the number of animals is getting reduced gradually. Hence the present study was aimed at molecular characterization of the Mudhol Hound which will be useful in maintenance of diversity of the breed.&nbsp; 
 
Methods: In this study, 26 microsatellite markers were used for the characterization of Mudhol Hound dog. A total of 50 blood samples were screened. Microsatellite loci were analyzed by running the PCR products on 6.5 per cent polyacrylamide gels followed by silver staining. Genotyping was done based on the banding patterns.&nbsp; 
 
Result: A total of 221 alleles were observed from the 26 microsatellites. The number of alleles ranged from 5 (AHTk211) to 12 (INU055, PEZ12) with a mean of 8.5&plusmn;1.9442 alleles. The average H0 and He were 0.7685&plusmn;0.2122 and 0.8326&plusmn;0.0397, respectively. The percentage of polymorphic loci obtained was 100 as all the loci studied were found to be polymorphic having the PIC values more than 0.5. All the 26 loci showed significant deviation from Hardy - Weinberg equilibrium (P&lt;0.001).</div>

Microsatellite DNA Polymorphism Studies in Mudhol Hound Dog Native of India

<div>Background: Haemonchosis is one of the major parasitic infestations in small ruminants. Haemonchus contortus is a highly pathogenic parasite that localises in the abomasum of affected animals and exerts its pathogenicity by blood-sucking activity, adversely affecting the health and productivity of animals.&nbsp; In recent years, there is widespread development of anthelmintic resistance against Haemonchus spp. Therefore, a sustainable strategy needs to be implemented to effectively control haemonchosis in goats. The aim of the present study was to find out the efficacy of herbal anthelmintic drug (Carica papaya aqueous seed extract) and haemato-biochemical alterations in Haemonchus infection. 
 
Methods: In this study, goats were screened for Haemonchus spp. by the FAMACHA technique. Hemato-biochemical examination was done before and after the therapeutic trial. Herbal anthelmintic drug was prepared from Papaya seed. In-vitro and in-vivo trial were carried out to test the efficacy of prepared herbal anthelmintic drug.&nbsp; 
 
Result: The present study showed that FAMACHA can be used for the early screening of Haemonchus spp. in a herd. Significant improvement in haemato-biochemical examination was found in the group treated with the prepared herbal anthelmintic drug. Thus, the herbal anthelmintic (Carica papaya seed extract) can be a good alternative for controlling Haemonchosis in goats.&nbsp;</div>

Clinico-therapeutic Studies on Haemonchosis in Goats

<div style="text-align:justify">The present experiments were carried out at Department of Horticulture, Dr. PDKV, Akola and Regional Research Centre, Amravati during the years 2013-14 and 2014-15. Fifty five genotypes of cluster bean were assessed for genetic divergence&nbsp;using Mahalanobis D2 technique. Among the characters studied in all four environmental conditions, gum content in seed&nbsp;(63.50%), plant spread (17.17%), number of primary branches per plant (4.65%), days to first flower (3.77%), hundred&nbsp;seed weight (2.09%), days to 50 % flowering(1.95%), seed to husk ratio (1.68%) and ten dry pod weight (1.35%) contributed&nbsp;95 percent to the total divergence. Genotypes were grouped into 8 clusters using Tocher&rsquo;s method. Cluster V was the&nbsp;largest group, involving 17 genotypes followed by twelve genotypes were grouped in cluster IV, eleven genotypes in&nbsp;cluster III and six genotype each in cluster I and II. The remaining solitary clusters (VI, VII and VIII) contained only one&nbsp;genotype each. The genotypes from the solitary clusters showed high divergence and useful in breeding. The intra-cluster&nbsp;distance ranged from 0 to 9.15. Cluster V possessed the highest intra-cluster distance (D2=9.15), followed by cluster IV&nbsp;(D2=6.34), cluster III (D2=4.71), cluster II (D2=3.31), and cluster I (D2=2.65). The clusters comprised of only one genotype&nbsp;had zero intra-cluster distance (cluster VI to VIII). The average inter-cluster distance reveled&nbsp; the maximum divergence(D&sup2;)&nbsp;between cluster V and VIII (D&sup2;=37.26) followed by cluster III and V (D&sup2;=29.92), cluster VI and VIII (D&sup2;=25.51). On the&nbsp;basis of inter cluster distance and performance observed in the present study a breeding programme involving genotypes&nbsp;for a specific character has been selected using cluster mean.</div>

Genetic divergence studies in cluster bean genotypes

<div style="text-align: justify;">The study was undertaken to understand the genetic architecture of Deccani and Nellore sheep breeds and to assess the genetic distance between the breeds. Allele diversity, genetic variability and population structure in the two breeds were estimated using 30 microsatellite markers. A total of 100 sheep, 50 each from Deccani and Nellore breeds were genotyped. The total number of alleles observed was 254 and 260 in Deccani and Nellore, respectively. The mean expected heterozygosity among the breeds ranged from 0.79 (Deccani) to 0.80 (Nellore) whereas the mean observed heterozygosity levels ranged from 0.77 in Deccani to 0.78 in Nellore sheep. The overall mean inbreeding coefficient was 0.029 in Deccani and 0.031 in Nellore sheep and of the 30 loci studied, 14 loci in Deccani and 16 loci in Nellore sheep showed negative inbreeding coefficient indicating the presence of outbreeding. However, eight loci (BM1314, BM6506, BM8125, ILSTS28, MAF70, MCM140, OarCB226 and OarFCB128) showed positive, mild to moderate inbreeding ranging from 0.007 to 0.25 in Deccani and 0.066 to 0.37 in Nellore sheep studied. &nbsp;The FIS values ranged from -0.372 to 0.74, FST values ranged from 0.001 to 0.172 and FIT values ranged from -0.370 to 0.728 between the Deccani and Nellore sheep breeds studied. The PIC values ranged from 0.498 to 0.886 with a mean of 0.773 in Deccani and from 0.574 to 0.894 with a mean of 0.777 in Nellore breed. The information generated from the present study will be valuable for setting conservation priority of these two breeds.</div>