Sowing date affects yield components of canarygrass seed

Bodega, J. L.; Dios, M. A. de; Iraola, M. M. Pereyra

doi:10.4141/p02-037

Cited by 5 publications

(6 citation statements)

References 9 publications

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“…This lack of a seeding date effect on kernel weight was also reported in other studies (Miller 2000;Bodega et al 2003). The intercept was 7.2 g 1000 kernels…”

Section: Seeding Datesupporting

confidence: 88%

“…This trend was observed by Miller (2000) in Saskatchewan but not by Bodega et al (2003) in Argentina.…”

Section: Seeding Datementioning

confidence: 69%

“…In this study by Miller (2000) the yield component most affect by delayed seeding was panicles per square metre with the effects on kernel weight and seeds per panicle being inconsistent. A study conducted in Argentina (Bodega et al 2003) found a similar trend with yield declining as seeding was delayed. Cogliatti et al (2011) reported that the ranking of annual canarygrass accessions changed as seeding was delayed from Jul.…”

mentioning

confidence: 76%

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Yield variability in Phalaris canariensis L. due to seeding date, seeding rate and nitrogen fertilizer

et al. 2012

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variability in Phalaris canariensis L. due to seeding date, seeding rate and nitrogen fertilizer. Can. J. Plant Sci. 92: 651Á669. Concern over the year-to-year and field-to-field variability in grain yield has consistently been expressed by annual canarygrass growers in Saskatchewan. The objectives of these studies were to understand the effects of a delayed seeding date (0, 15, 30 and 45 d), seeding rate (15, 25, 35, 45, and 55 kg ha (1 of seed) and applied N fertilizer (20, 40, 60, 80, and 100 kg N ha (1 ) on the development and yield of annual canarygrass, to improve recommendations of best management practices in annual canarygrass and to determine the impact of these factors on yield variability in annual canarygrass. To address these objectives, three single factor field experiments were conducted, at a number of sites in Saskatchewan from 1998 to 2001. Seeding date had a large effect on grain yield. Grain yield decreased as seeding was delayed by 30 and 45 d from early May. Seeding rate had a small effect on grain yield. The response curve was very shallow peaking at approximately 1310 kg ha(1 at a seeding rate of 45 kg ha (1 , with a 2.3 kg ha (1 increase in grain yield for each kg of fertilizer N in that range of rates. There was a slight increase in grain yield as the nitrogen rate increased above 40 kg ha(1 but the variation in grain yield also increased reducing the incentive for growers to use N rates above 40 kg ha (1 . Seeding date had a large effect on seed yield and could impact yield variability while seeding rate and nitrogen rate did not have a large effect on seed yield or yield variability. (20, 40, 60, 80 ou 100 kg de N par hectare) sur le de´veloppement et sur le rendement de l'alpiste roseau annuel, cela dans le but d'ame´liorer les recommandations concernant les meilleurs pratiques agronomiques pour cette culture ainsi que pour de´terminer l'impact de ces parame`tres sur la variabilite´du rendement. À cette fin, ils ont proce´de´a`trois expe´riences unifactorielles sur le terrain, a`divers endroits de la Saskatchewan, de 1998 a`2001. La date des semis influe conside´rablement sur le rendement grainier, qui diminue lorsque les semis sont reporte´s de 30 ou de 45 jours a`partir du de´but du mois de mai. La densite´de semis affecte le´ge`rement le rendement. La courbe de re´ponse pre´sente un tre`s petit pic autour de 1 310 kg par hectare, environ, a`la densite´de semis de 45 kg par hectare. La variation du rendement grainier a tendance a`s'atte´nuer quand la densite´de semis augmente. Le rendement grainier s'accroıˆt le´ge`rement avec l'application d'engrais azote´s. La courbe de re´ponse laisse entrevoir un rendement maximal de 1 215 kg par hectare lorsqu'on applique 78 kg d'engrais azote´par hectare; la majeure partie de cette hausse survient entre l'application de 20 a`40 kg de N par hectare, chaque kilo d'engrais ajoute´entraıˆnant une hausse de 2,3 kg par hectare du rendement grainier, dans cette fourchette. Le rendement grainier augmente le´ge`rement lorsque le taux d'applica...

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“…This lack of a seeding date effect on kernel weight was also reported in other studies (Miller 2000;Bodega et al 2003). The intercept was 7.2 g 1000 kernels…”

Section: Seeding Datesupporting

confidence: 88%

“…This trend was observed by Miller (2000) in Saskatchewan but not by Bodega et al (2003) in Argentina.…”

Section: Seeding Datementioning

confidence: 69%

mentioning

confidence: 76%

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Yield variability in Phalaris canariensis L. due to seeding date, seeding rate and nitrogen fertilizer

et al. 2012

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“…2), in agreement with Bodega et al (2002Bodega et al ( , 2003 for this species and Peltonen-Sainio et al (2007) for wheat, barley, oats and rice. One of the few exceptions to this general relationship was, as mentioned above, the promising Moroccan population 42, the high yield of which was due to its high grain weight; this was also the case for the Dutch cultivar Cantate (accession 60).…”

Section: Correlations Between Characterssupporting

confidence: 90%

“…In the current work and in spite of previous reports that the genetic variation observed in canaryseed is low (Poverene et al 1994;Bodega et al 1995Bodega et al , 2003Putnam et al 1996;Miravalles et al 2002;Matus-Cadiz andHucl 1999, 2002), significant differences were found between the accessions for all evaluated characters (grain yield and its components, plant height and phenology) as described in the following sections (Table 2), although the combined analyses of variance over trials also demonstrated the presence of significant genotype (accession) )environment (trial) interaction (P 50.05).…”

Section: Results and Discusioncontrasting

confidence: 68%

Goodeve hard red spring wheat

DePauw¹,

Knox²,

Thomas³

et al. 2009

Can. J. Plant Sci.

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Cogliatti, M., Bongiorno, F., Dalla Valle, H. and Rogers, W. J. 2011. Canaryseed (Phalaris canariensis L.) accessions from nineteen countries show useful genetic variation for agronomic traits. Can. J. Plant Sci. 91: 37–48. Fifty-seven accessions of canaryseed (47 populations and 10 cultivars) from 19 countries were evaluated for agronomic traits in four field trials sown over 3 yr in the province of Buenos Aires, Argentina. Genetic variation was found for all traits scored: grain yield and its components (grain weight, grain number per square meter, grain number per head and head number per square meter), harvest index, percent lodging, and phenological characters (emergence to heading, emergence to harvest maturity and heading to harvest maturity). Although genotype×environment interaction was observed for all traits, the additive differences between accessions were sufficient to enable promising breeding materials to be identified. Accessions superior in performance to the local Argentinean population, which in general gave values close to the overall mean of the accessions evaluated, were identified. For example, a population of Moroccan origin gave good yield associated with elevated values of the highly heritable character grain weight, rather than with the more commonly observed grain number per square meter. This population was also of relatively short stature and resistant to lodging, and, although it performed best when sown within the normal sowing date, tolerated late sowing fairly well. Other accessions were also observed with high grain weight, a useful characteristic in itself, since large grains are desirable from a quality point of view. Regarding phenology, the accessions showed a range of 160 degree days (8 calendar days in our conditions) in maturity, which, while not large in magnitude, may be of some utility in crop rotation management. Some accessions were well adapted to late sowing. Grain yield in general was strongly correlated with grain number per square meter. Principal components analysis (PCA) carried out for all characteristics provided indications of accessions combining useful characteristics and identified three components that explained approximately 70% of the phenotypic variation. Furthermore, a second PCA plus regression showed that approximately 60% of the variation in grain yield could be explained by a component associated with harvest index and grain number per square meter. Pointers were provided to possible future breeding targets.

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