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Institution

Indian Agricultural Statistics Research Institute

FacilityNew Delhi, India
About: Indian Agricultural Statistics Research Institute is a facility organization based out in New Delhi, India. It is known for research contribution in the topics: Population & Small area estimation. The organization has 454 authors who have published 870 publications receiving 7987 citations.


Papers
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Journal ArticleDOI
TL;DR: Generally, local chickens exhibited heterogynous phenotypes for qualitative traits of local chickens in Tolon District, northern Ghana, which could be described as normally feathered with wide variation in plumage colours and having mainly single comb type.
Abstract: Context Rural chicken production in most developing countries is based mainly on scavenging systems with indigenous chickens that have not been properly characterised and classified into well-defined breeds. Aims This study was conducted to identify the variant forms of qualitative phenotypic traits of local chickens in Tolon District, northern Ghana. Methods About 320 adult birds were sampled and data collected by using observation and a chicken colour chart. Traits included head shape; comb type, size and colour; feather distribution; and earlobe, eye, plumage, skin and shank colours. Chi-squared goodness of fit test was used to test whether variant phenotypes of each qualitative trait were equally distributed. The hypothesis of no associations between pairs of traits was tested by using Cramer’s V. Key results There were highly significant (P < 0.01) differences in the distributions of variant phenotypes of all traits. The main comb type observed was single (85.9%), followed by pea (8.8%) and rose (5.3%). A majority of birds had small combs (57.8%), although others had medium (28.4%) and large (13.8%) combs. Females had small to medium combs, whereas males had medium to large combs. A majority of the chickens had white earlobe colour (60.3%), followed by pied red and white (22.5%). Feather distributions observed were normal feathered (84.4%), naked neck (8.4%) and frizzled (7.2%). Five plumage colours were observed, although some were in combinations. White plumage was the most common (22.5%), followed by black (18.8%), with brown/ash the least common (0.03%). Community was significantly (P < 0.01) associated with comb type, size and colour, and eye, shank and skin colours. Also, comb size was significantly associated with sex and comb type. Conclusions Generally, local chickens exhibited heterogynous phenotypes for qualitative traits. Local chickens in the district could be described as normally feathered with wide variation in plumage colours and having mainly single comb type. Implications The knowledge of these variant phenotypes and their associations will serve as baseline information for the characterisation and conservation of local chicken types. It could also provide guidelines in selecting bird ecotypes and/or communities for breed improvement programs in the study area.

3 citations

Journal ArticleDOI
TL;DR: In this article , a multi-stage framework is proposed to perform spatial mapping and time series analysis on more than 26 million farmers' helpline call-log records, made available by the Ministry of Agriculture & Farmers' Welfare, Government of India.

3 citations

Journal ArticleDOI
TL;DR: A general expression for response to selection appropriate for both random and non-random mating situations is derived and illustrated with full-sibbing.
Abstract: A general expression for response to selection appropriate for both random and non-random mating situations is derived and illustrated with full-sibbing.

3 citations

Journal ArticleDOI
23 Oct 2021-Genomics
TL;DR: Pukzing cave, the largest cave of Mizoram, India was explored for bacterial diversity as mentioned in this paper, and culture dependent method revealed 235 bacterial isolates using three different treatments.

3 citations


Authors

Showing all 462 results

NameH-indexPapersCitations
Sunil Kumar302303194
Atmakuri Ramakrishna Rao211091803
Charanjit Kaur20804320
Anil Rai202081595
Ranjit Kumar Paul1793875
Hukum Chandra1775825
Sudhir Srivastava17691123
Krishan Lal16681022
Ashish Das151461218
Eldho Varghese15127842
Deepti Nigam1429812
Mir Asif Iquebal1488604
Rajender Parsad1398799
Deepak Singla1332422
Prem Narain1380503
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
202212
2021134
2020107
201951
201868