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Performance of dihaploid wheat lines obtained via anther culture

2003· article· en· W2034535290 on OpenAlexaff
Marcus Vinicius Salomon, Carlos Eduardo de Oliveira Camargo, Armando Petinelli, Joaquim Adelino de Azevedo Filho

Bibliographic record

VenueScientia Agricola · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGrowth and nutrition in plants
Canadian institutionsInuit Tapiriit Kanatami
Fundersnot available
KeywordsCultivarRust (programming language)Grain yieldAgronomyDoubled haploidyBiologyPuccinia reconditaHorticulturePloidy

Abstract

fetched live from OpenAlex

The anther culture technique has been used in breeding programs to obtain haploid plants from hybrid plants of F1 generation and to develop more efficiently wheat cultivars. To study the behavior of dihaploid wheat lines and two check cultivars, IAC-24 and IAC-289, experiments were carried out under sprinkler irrigation at Monte Alegre do Sul, SP, Brazil, in an Haplic Acrisol and at Tatuí, SP, Brazil, in a Rhodic Ferrasol, during the years 1999 and 2000. Genotypes were evaluated for grain yield, 100 grain weight, plant height, resistance to leaf rust (Puccinia recondita f. sp. tritici Rob. Desm.) and lodging. The genotypes were also evaluated under laboratory conditions for their Al+3 toxicity tolerance using nutrient solutions. The line 8, originated from ANA/IAC-24 cross, presented high grain yield, semidwarf plant type, heavy grain, leaf rust resistance and tolerance to Al+3 toxicity. The lines 4, 11, 12 and 14, also presented high tolerance to Al+3 toxicity in association to grain yield above 3.000 kg ha-1. These lines are suitable to be used in breeding programs to develop cultivars for acid soils.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.647
Threshold uncertainty score0.527

Codex and Gemma teacher scores by category

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

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 head0.009
GPT teacher head0.192
Teacher spread0.183 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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".

Quick stats

Citations4
Published2003
Admission routes1
Has abstractyes

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