Tolerância à germinação na espiga em cultivares de trigo colhido na maturação fisiológica

Franco, Francisco de Assis; Pinto, Ronald José Barth; Scapim, Carlos Alberto; Schuster, Ivan; Predebon, Crisleine Thomann; Marchioro, Volmir Sérgio

doi:10.1590/s0103-84782009005000212

Cited by 7 publications

(9 citation statements)

References 9 publications

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“…This differentiation of the genotypes was not observed for the rainfall simulator and germination chamber methods, which grouped the Frontana, IPR Catuara and Quartzo genotypes in the same category of spike sprouting response. [13] stated that rainfall simulation in a controlled environment was efficient in promoting sprouting only in susceptible cultivars; this result was confirmed by the present study, in which both the rainfall simulator and germination chamber methods were able to differentiate genotype BRS 220 (susceptible) from the other evaluated genotypes, showing percentages of grain sprouting per spike of 56.11% and 37.59%, respectively. In contrast, Gavazza et al [6], in an evaluation of the sprouting of wheat genotypes, observed that the rainfall simulation method was best suited for evaluating cultivars in terms of preharvest sprouting regardless of harvest time and evaluation site.…”

Section: Resultssupporting

confidence: 88%

“…Franco et al [13] had previously observed differences between genotypes in the number of grains per spike in the Palotina municipality, indicating the superiority of the CD 104, BRS 208 and Frontana cultivars. Similarly, these authors stated that the domestic wheat derived from Frontana likely transmitted the ability to produce a higher number of grains per spike to their offspring, which may have contributed to the increase in the grain yield of new cultivars.…”

Section: Resultsmentioning

confidence: 93%

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Repeatability of Pre-Harvest Sprouting in Wheat

Pagliosa¹,

Carpentieri-Pípolo²,

Garbuglio³

et al. 2014

AJPS

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This study aimed to detect genotypic differences in the resistance to sprouting of wheat grains, evaluate the effectiveness of different methods for inducing sprouting and identify, using repeatability estimates, the minimum number of spikes necessary for the adequate evaluation of the percentage of grain sprouting in the spike in order to assist in the selection of superior genotypes in breeding programs. Spikes from four wheat cultivars (Frontana, IPR Catuara, Quartzo and BRS 220) were evaluated using three methods for inducing grain sprouting in the spike (water immersion, rainfall simulation and germination chamber). To determine the most efficient method, repeatability coefficients were estimated through analysis of variance, principal components analysis and structural analysis based on correlation and covariance matrices. The induction of sprouting by immersion in water was the most effective method for indicating genotypic differences and may be used in breeding programs for this purpose. The repeatability method based on the components of covariance was more efficient. A minimum of 11 spikes is required to make a high-reliability estimate of the percentage of sprouted grains in the spike.

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Section: Resultssupporting

confidence: 88%

Section: Resultsmentioning

confidence: 93%

Repeatability of Pre-Harvest Sprouting in Wheat

Pagliosa¹,

Carpentieri-Pípolo²,

Garbuglio³

et al. 2014

AJPS

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show abstract

“…The duration of a test for sprouting resistance in a rain simulator depends on the weather conditions (Bizova et al, 2011;DePauw et al, 2012) and the type of evaluation (Paterson et al, 1989). Test durations between 60 and 120 h have been used for visual evaluations of genotypes (Franco et al, 2009;Gavazza et al, 2012;Shorter et al, 2005;Singh et al, 2014). Converting these durations to DD, based on the temperature data reported in each of these studies, it was observed that these researchers conducted their tests at 54 ADD (Shorter et al 2005), 59 ADD (Gavazza et al, 2012) and 70 ADD (Singh et al, 2014).…”

Section: R E S U Lt S a N D Discussionmentioning

confidence: 99%

“…There are several methods to evaluate PHS and these include artificial sprouting of whole (intact) spikes, germination tests, natural weathering of crop in field trials, artificial weathering trials, and indirect assessment of sprouting by measuring Hagberg FN and molecular markers (DePauw et al ., 2012). Among these, the artificial weathering trials have been used to evaluate a large number of genotypes quickly and to eliminate inferior ones (Bassoi et al ., 2006; Franco et al , 2009; MacMaster and Derera, 1976). The time period in the assessments of PHS in rain simulators varied from 60 h (Franco et al , 2009; Gavazza et al ., 2012) to 96 h (Shorter et al ., 2005) and as much as 120 h (Singh et al ., 2014).…”

Section: Introductionmentioning

confidence: 99%

Preharvest Sprouting Assessment in Wheat Genotypes Influenced by Temperature and Degree Days

et al. 2017

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SUMMARYThe environmental conditions and test duration in rainfall simulators have been major constraints to find reliable differences in preharvest sprouting (PHS) among wheat cultivars. This study aimed to elucidate the temperature conditions and degree-days (DD) that enable higher discrimination of genotypes in a PHS test. Thirteen genotypes with different degrees of PHS (BR 18, BRS 220, CD 104, CD 105, CD 108, CD 114, CD 116, Frontana, IPR 085, IPR 128, IPR 136, OR1 and Safira) were evaluated in a rainfall simulator, during four years, conducting two trials per year. The tests were carried on 20 spikes per cultivar, kept in a vertical position on Styrofoam plates, spaced 10 cm between rows and 5 cm within the row. The air temperature data were recorded on a thermograph and the DD were calculated from the mean daily air temperature assuming a base temperature of 4 °C. The Falling Number (FN) parameter and germination percentage (GP) data were averaged for each test. The temperatures (minimum, mean and maximum) and the DD were regressed and correlated with FN and GP. Any increase in the minimum and mean air temperature and accumulated DD decreased FN values and increased GP. Higher genotypic discrimination was achieved at an average air temperature of 21.5 °C and 35 DD. These values can be used as reference to set simulated rain testing condition for screening genotype for PHS based on FN or pericarp rupture of grains.

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“…Vários fatores podem contribuir para uma maior tolerância à germinação na espiga, como a redução dos níveis de alfa-amilase nos grãos, a presença de inibidores de germinação, redução da absorção de água pelos grãos e respostas alteradas para hormônios (FLINTHAM, 2000;ZANETTI et al, 2000;HIMI et al, 2002;MARES et al, 2005). Adicionalmente, a falta de dormência adequada das sementes é a principal razão para a PHS, sendo destacada como uma característica governada por múltiplos genes (LI et al, 2004 (BASSOI et al, 2006;FRANCO et al, 2009;OKUYAMA et al, 2017 Embora a variabilidade genética existente no triticale para a resistência à PHS e para o NQ seja menor que a disponível no trigo, ela parece ser suficiente para que, através do melhoramento genético, novas cultivares superiores possam ser geradas (NEDEL et al 1983b;HAESAERT;DE BAETS, 1996;OETTLER, 2005;ALARU et al 2008;BIZOVA et al 2011).…”

Section: Characterization Of Triticale Genotypes For Germination Toleunclassified

Caracterização De Genótipos De Triticale Para Tolerância À Germinação Na Espiga

Fernandes

2020

RCR

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A germinação na espiga é uma das principais características a afetar a cultura do triticale (x Triticosecale Wittmack), representando um fator limitante de qualidade tecnológica para a indústria de transformação e de qualidade fisiológica para a produção de sementes. O objetivo deste trabalho foi caracterizar a tolerância/suscetibilidade à GE de genótipos de triticale. Para isso, 30 genótipos de triticale e três de trigo foram semeados, na safra 2016, na Estação Experimental do IAPAR/Londrina. Após a colheita, parte das espigas foi submetida à indução da germinação por nebulização em ambiente protegido, por 48 horas. Transcorridas as 48 horas de nebulização, estas foram trilhadas manualmente para a determinação da porcentagem de grãos germinados (% GG) do Peso Hectolítrico (PH) com e sem nebulização e o Numero de Queda. A análise variância constatou diferença significativa entre os genótipos de triticale para todas as características avaliadas. Dos 30 genótipos de triticale avaliados, 14 não apresentaram diferença estatística dos genótipos de trigo utilizados como testemunhas. De uma maneira geral, quatro genótipos de triticale (BRS 203, BRS Netuno, BRS Saturno e TPOLO 66) destacaram-se por apresentar baixo % de grãos germinados e manter o peso hectolítrico alto mesmo após serem expostos a 48 horas de nebulização.

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Tolerância à germinação na espiga em cultivares de trigo colhido na maturação fisiológica

Abstract: Tolerância à germinação na espiga em cultivares de trigo colhido na maturação fisiológicaSprouting tolerance on spikes in wheat cultivars harvested in the physiological ripening

Cited by 7 publications

References 9 publications

Repeatability of Pre-Harvest Sprouting in Wheat

Repeatability of Pre-Harvest Sprouting in Wheat

Preharvest Sprouting Assessment in Wheat Genotypes Influenced by Temperature and Degree Days

Caracterização De Genótipos De Triticale Para Tolerância À Germinação Na Espiga

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