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Record W2493613462 · doi:10.1201/b19891-9

Diseases of Chickpea Crop and Their Management

2016· book-chapter· en· W2493613462 on OpenAlexaboutno aff
Anil Kumar, Santosh Kumar, Sanjay Kumar, Birender Singh

Bibliographic record

VenueApple Academic Press eBooks · 2016
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicGenetic and Environmental Crop Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCropCrop managementAgronomyBiologyAgroforestryMedicine

Abstract

fetched live from OpenAlex

Chickpea (Cicer arietinum L.) is the second most important crop after beans, commonly known as gram or Bengal gram is a versatile crop among the grain legumes with a total production of 11.6 (Mt) from 13.2m ha. However, it ranks fifth in the productivity after Fababean, pea, lupin, and lentil and ranks first among the pulses both in acreage and production. India accounts for 70.7% of the world Chickpea production followed by Australia (4.4%), Pakistan (4.3%), Turkey (4.2%), Myanmar (4.0%), Ethiopia (2.8%), Iran (2.5%), USA (0.84%), Canada (0.78%), and Maxico (0.62%) (FAO, 2011). Chickpea is used as an important source of protein in human nutrition and cattle feed. Chickpea is considered to have medicinal effects and it is used for blood purification. Chickpea contains 21% protein, 61.5% carbohydrate, 4.5% fat. Its seed is also rich in protein, starch, fiber, calcium, iron and niacin, malic and oxalic acid, which makes it one of the best nutritionally balanced pulses for human consumption (Jukanti et al., 2012). However, like any other pulses, the chickpea seed also contains antinutrional factors, which can be reduced or eliminated by cooking. Chickea enrich the soil fertility by fixing atmospheric nitrogen 141 kg/ha (Rupela, 1987) in the root nodules and improves the soil structure (Asthana and Chaturvedi, 1999). It is also to improve soil fertility by biological nitrogen fixation which helps reduce the input cost for the existing crop and. Chickpea usually receives few inputs other than labor, insecticides and seed. Chickpea is a crop of both tropical and temperate regions. The two distinct forms of cultivated chickpeas are Desi (small seeds, angular ram’s head shape, and colored with high percentage of fiber) and Kabuli (large-seeds, irregular rounded, owl’s-head shape, and beige colored seeds with low percentage of fiber) types. Kabuli type is grown in temperate regions while the Desi type chickpea grown in the semi-arid tropics. Low yield of chickpea attributed to its susceptibility to several fungal, bacterial and viral diseases. In general, estimates of yield losses by individual insects and diseases range from 5 to 10% in temperate regions and 50 to 100% in tropical regions (Van Emden et al., 1988).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.194
Teacher spread0.170 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2016
Admission routes1
Has abstractyes

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