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Record W2731360927 · doi:10.22067/ijpr.v9i1.56867

ارزیابی تحمل برخی از ارقام نخود (L. Cicer arietinum) به کاربرد برخی از علفکشها

2018· article· fa· W2731360927 on OpenAlexaboutno aff
ابراهیم ایزدی دربندی, الناز مولایی, احمد نظامی, حسن پرسا

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2018
Typearticle
Languagefa
FieldAgricultural and Biological Sciences
TopicWeed Control and Herbicide Applications
Canadian institutionsnot available
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

Introduction Chickpea (Cicer arietinum L.) is an important food legume, is presently grown in more than 50 countries and imported by more than 150 countries. It is the second largest grown and produced food legume after dry beans. During 2011, chickpea was grown on 13.2 million ha and about 80% of this area was in south and southeast Asia (India 68%, Pakistan 8.9% and Myanmar 2.3%). The other major chickpea growing countries include Turkey, Australia, Ethiopia, Iran, Mexico, Canada and USA. Weeds are a serious constraint to increased production. Chickpea, however, is a poor competitor with weeds because of slow growth rate and limited leaf area development at early life stages. Weeds compete with chickpea plants for water, nutrients, sunlight and also harbor insect-pests and diseases. If the weeds are not controlled, they can significantly reduce chickpea yield. Significant yield losses (up to 84%) due to weeds have been reported in chickpea, and even more severely (up to 98%) in autumn-sown chickpea. Thus, weed management is crucial in chickpea to realize maximum yields and also to maintain high its quality. Because of the sensitivity of chickpea to herbicides, most effective are the pre-emergence herbicides, and choices for post-emergence herbicides are limited. The pre-emergence herbicides are effective in controlling weeds at early stage of seedling growth, but weeds germinating after crop emergence become dominant in the field and cause substantial yield loses. Therefore, chickpea cultivars with improved herbicide tolerance, which can offer greater flexibility for use of post-emergence herbicides, are required by the farmers. There are few reports on identification of herbicide tolerance in chickpea. However, these reports indicate presence of genotypic variations for herbicide tolerance in chickpea. This study was aimed to identify chickpea cultivars tolerance to pyridate, imazethapyr, foramsulforun and rimsolforun herbicides by screening. Materials & Methods In order to study chickpea cultivars toleration against some post-emergence herbicides, a pot experiment was carried out in a completely randomized design in four replications at research greenhouse Ferdowsi University of Mashhad. Factors included herbicides application in 4 levels (foramsulfuron, rimsulfuron, imazethapyr and Pyridate), herbicide dose in 3 levels (100 and 75% of the herbicides recommended dose for weed control with control treatment without of herbicide use) and chickpea cultivars in 5 levels, (Hashem, ILC 482, Kaka, Azad and Arman). Chickpea seeds were prepared from chickpea seed bank of Research Center for Plant Sciences, Ferdowsi University of Mashhad. Plants were in pots with 14 cm diameter and sprayed at 2nd true leaf of chickpea cultivars. To evaluate the effects of experimental results, survival and dry matter of chickpea cultivars were indicated, 2 and 4 weeks after herbicides spraying. Analysis of variance of data was carried out after their conversion to plant with MSTATC software and for means comparisons LSD (p≤0.05) test was used. Results & Discussion Based on the results, chickpea cultivars were not significantly different in terms of dry matter, but they had a different reaction to the herbicides application. It is indicated that foramsulfuron and rimsulfuron had the highest phytotoxicity and negative effects on chickpea; and the lowest negative impact was related to pyridate herbicide application. Also reduced dose of imazethapyr herbicide had no effect on chickpea cultivars. According to the results ILC 482 and Azad chickpea cultivars were the most tolerant and Arman cultivar was the most susceptible cultivars toward mentioned herbicides application, especially pyridate and imazethapyr. Conclusion According to this study, the effects of pyridate, imazethapyr, rimsulfuron and foramsulfuron herbicides in chickpea cultivars were different. The intensity of phytotoxicity effects of investigated herbicides were ranked as rimsulfuron > foramsulfuron> Imazethapyr> pyridate. So, use of rimsulfuron and foramsulfuron herbicides chickpea not recommended in chickpea weed control. The research findings will increase our awareness regarding chickpea tolerance to the above herbicides and provide guidelines for adjustment for minimizing crop injury.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.034
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0340.025

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 head0.253
GPT teacher head0.525
Teacher spread0.272 · 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 designObservational
Domainnot available
GenreEmpirical

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".

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Citations2
Published2018
Admission routes1
Has abstractyes

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