Phyllochron and leaf appearance rate in oat

Abstract

Phyllochron and leaf appearance rate are both important parameters in the production efficiency of agricultural crops. The objectives of this study were to determine the phyllochron and leaf appearance rate in 4 oat cultivars (Avena sativa L.) in 3 sowing dates and verify the variability of phyllochron and leaf appearance rate among cultivars and sowing dates. The experimental design was the completely randomized with 12 treatments and 20 repetitions. Treatments were formed by the combination of 4 cultivars (URS Charrua, URS Taura, URS Estampa, and URS Corona) and 3 sowing dates in 2014 (April 28, May 28, and July 14). In each plant (repetition) of each treatment, the number of expanded leaves (NEL) was counted 3 times per week from the first leaf emission until flowering. For each plant, cultivar, and sowing date, linear regression was adjusted between NEL and accumulated thermal time (ATT) and between NEL and number of days after emergence (DAE). Phyllochron was determined by the inverse of the angular coefficient of the linear regression between the NEL and ATT. The leaf appearance rate was determined by the inverse of the angular coefficient of the linear regression between NEL and DAE. In oat, there is variability of phyllochron and leaf appearance rate among cultivars and sowing dates. Phyllochron oscillates between 95.88 and 117.70 °C day∙leaf⁻¹ and leaf appearance rate, between 6.41 and 9.65 days∙leaf⁻¹. The oat cropping management in function of phyllochron and leaf appearance rate is dependent on cultivars and sowing dates.

Key words
Avena sativa L.; plant development; thermal time; leaf emission

INTRODUCTION

The oat (Avena sativa L.) belongs to the Poaceae family (Cronquist 1988). It is a grass with double purpose, i.e. grain and forage production, being used for human consumption and animal feed. It is also an alternative to the crop rotation system (CBPA 2014). Oat is extremely important among the winter cereals in Brazil, being the fifth most cultivated cereal (IBGE 2014). In the 2015 growing season, from the total cultivated area with oat in Brazil, the State of Rio Grande do Sul was the greatest grower, contributing with 217,900 t in an area of 118,400 ha, corresponding to 62.0% of production and 62.5% of the cultivated area (CONAB 2016).

Oat presents adaptability and its multipurpose gives important contribution of this species to the sustainability of many agricultural production systems. Therefore, it is essential to understand the crop ecophysiology for the proper management. Characterization of oat plants development is important to identify crop responses to distinct environmental stimuli during its productive cycle (Castro et al. 2012).

The air temperature is the main weather factor that influences plant development (Streck 2002; Gramig and Stoltenberg 2007). Phyllochron represents the accumulated thermal time, in °C day, required for the successive leaves appearance in a culm or stem, having as unit °C day∙leaf⁻¹ (Hermes et al. 2001; Xue et al. 2004). Another important plant development parameter is the leaf appearance rate (LAR), which is the number of days required for the emission of 1 leaf (Xue et al. 2004). The LAR is used to obtain models of growth and yield of agricultural crops (Streck et al. 2003). Phyllochron and leaf appearance rate are both important parameters in the production efficiency of agricultural crops and have been used in ecophysiological studies in plants.

The assessment of phyllochron and leaf appearance rate in cultivars and sowing dates is important to verify the adaptation, recommendation, and proper crop management. Studies to determine the phyllochron were performed for crops, such as sorghum (Clerget et al. 2008), brachiaria (Santos et al. 2009), maize (Streck et al. 2009; Martins et al. 2012), wheat (Rosa et al. 2009; Mohamed et al. 2013; Pržulj and Momčilović 2013), and strawberry (Rosa et al. 2011; Mendonça et al. 2012). Researches for determination of leaf appearance rate were carried out for the crops brachiaria (Santos et al. 2009; Paciullo et al. 2008), maize (Streck et al. 2010), and wheat (Mohamed et al. 2013).

Studies to determine phyllochron and leaf appearance rate in cultivars and sowing dates for the oat crop were not found in the literature. Thus, the objectives of this study were to determine the phyllochron and leaf appearance rate in 4 oat cultivars in 3 sowing dates and verify the variability of phyllochron and leaf appearance rate among cultivars and sowing dates.

MATERIAL AND METHODS

The experiment with the oat crop (Avena sativa L.) was carried out in the experimental area of 90 × 60 m (5,400 m²) located at lat 29°42′S, 53°49′W and 95 m of altitude, in the agricultural year of 2014. According to Köppen climate classification, the climate is Cfa, subtropical humid, with warm summers and without defined dry season (Heldwein et al. 2009). The type of soil is classified as “Argissolo Vermelho distrófico arênico” (Santos et al. 2013).

The experimental design was the completely randomized with 12 treatments in a factorial arrangement with 20 repetitions. The treatments were formed by the combination of 4 cultivars (URS Charrua, URS Taura, URS Estampa, and URS Corona) and 3 sowing dates (April 28, May 28, and July 14). The utilized sowing dates are within the period indicated in the oat agro-climatic zoning for the southern region of Brazil (Castro et al. 2012). A basic fertilization was broadcasted utilizing the N-P-K commercial formulation in the 05-20-20 proportion, totaling 21 kg∙ha⁻¹ of N, 88 kg∙ha⁻¹ of P₂O₅, and 88 kg∙ha⁻¹ of K₂O. Posteriorly, topdressing fertilization of 45 kg∙ha⁻¹ of N was performed on May 13 and June 17, June 17 and July 14, August 5 and August 28 for sowing performed on April 28, May 28, and July 14, respectively.

Seedling emergence was determined by daily counting of the number of visible plants above the ground level, considering the emergence when 50% of the seedlings were visible. Emergence dates were May 4, June 5, and July 20 for the sowing dates of April 28, May 28, and July 14, respectively. After emergence, the number of expanded leaves (NEL) with visible ligule was counted in each plant (repetition) of each treatment. Therefore, 240 plants were evaluated, i.e. 20 plants (repetitions) by treatment in 12 treatments. Counts were performed 3 times a week until the plant flowering.

During the experimental period, the daily data of minimum temperature (Tmin) and maximum temperature (Tmax) of the air in °C, rainfall in mm, incident global solar radiation in kJ∙m⁻²∙day⁻¹, and photoperiod in h were recorded in the Weather Station, belonging to the 8^th Meteorology District of the National Meteorological Institute, located 40 m from the experimental area. The climate normals of the experimental area were obtained from the National Institute of Meteorology (INMET) website, originated by the base date from 1961 – 1990. Daily mean temperature (Tm) of the air, in °C, was calculated by the equation:

$$\mathrm{Tm}=(\mathrm{Tmin}+\mathrm{Tmax})/2$$

The daily thermal time (DTT, in °C day) was calculated according to Arnold (1960):

$$\mathrm{DTT}=(\mathrm{Tm}-\mathrm{Tb})\times 1\mathrm{day}$$

where: Tb is the base temperature for leaf emission.

The base temperature utilized was 3.0 °C (Yusoff et al. 2012). The accumulated thermal time (ATT, in °C day) from the plant emergence date was obtained accumulating the values of DTT.

Linear regression of the NEL in function of the ATT was adjusted for each cultivar in each sowing date, in each repetition (plant). Also, linear regression of the NEL in function of the number of days after emergence (DAE) was adjusted. Phyllochron, in °C day∙leaf⁻¹, was determined by the inverse of the angular coefficient of the linear regression between the NEL and the ATT (Klepper et al. 1982; Baker and Reddy 2001). The leaf appearance rate, in days∙leaf⁻¹, was determined by the inverse of the angular coefficient of the linear regression between the NEL and the DAE.

Data of phyllochron and leaf appearance rate were submitted to analysis of variance, and the comparison of means was performed by the Scott-Knott test at 5% of probability. Statistical analyzes were performed using Microsoft® Office Excel application and SISVAR software (Ferreira 2014).

RESULTS AND DISCUSSION

The air temperature during the leaf emission period (emergence to flowering) of oat presented variability in all sowing dates, with an upward trend in average temperatures towards the flowering period (Figure 1a). In this period, the lowest minimum temperature recorded was −0.2 °C on June 20 and August 14 and the highest maximum temperature recorded was 33.2 °C on August 23 and September 9. The average of Tm of air was of 16.01, 16.45, and 17.62 °C for the sowing dates of April 28, May 28, and July 14, respectively (Figure 1a). Therefore, it can be inferred that there was an increase in the average of Tm, during the period of emergence to flowering for each sowing dates, with delaying in sowing date. This behavior is expected and can be explained by the increase in the day length and perpendicularity of the incident solar rays. The Tm was greater than the oat base temperature (Tb = 3.0 °C) in all sowing dates. This means that there was thermal time accumulation in every day.

Figure 1
Daily minimum, mean, and maximum temperature of air in °C, rainfall in mm (a) and incident global solar radiation in kJ∙m⁻²∙day⁻¹ and photoperiod in hours (b), corresponding to the period in which the experiment was carried out with oat (Avena sativa L.) in the agricultural year of 2014. Data from the Weather Station, belonging to the 8^th Meteorology District of the National Meteorological Institute.

The lowest value of daily Tmin of air for 3 sowing dates was −0.2 °C, and the total number of days with Tmin of air below Tb of 3.0 °C were 5 for the sowing date of April 28, 5 for the sowing date of May 28, and 3 for the sowing date of July 14. It is possible that these extreme minimum temperatures occurred during some periods of the day may have limited the plant development.

Rainfall during the leaf emission period (emergence to flowering) was 820, 769, and 532 mm for sowing dates of April 28, May 28, and July 14, respectively (Figure 1a). In general, these rainfalls were well distributed during the evaluation period. However, rainfall during the evaluation period was greater than the climate normals in the months of May, June, July, September, and October and lower in months of April and August (Figure 2b). The average incident global solar radiation during the leaf emission period (emergence to flowering) was 11,105, 12,106, and 14,519 kJ∙m⁻²∙dia⁻¹ for the sowing dates of April 28, May 28, and July 14, respectively (Figure 1b). These results suggest reduction in the phyllochron and leaf appearance rate with the delay of sowing date, as discussed in Martins et al. (2012). The overall incident global solar radiation values during the leaf emission period (emergence to flowering) oscillated in relation to the climate normals of the local (Figure 2b). Extremes of incident global solar radiation occurred in the months of June and August, with values of 13.42% lower and 18.18% greater than the normal incident global solar radiation, respectively (Figure 2c). In general, the mean temperature of air, rainfall, and incident global solar radiation data during the leaf emission period (emergence to flowering) were similar to the climatological normal of the local in 2014 (Figures 2a,b,c).

Figure 2
Daily minimum, mean, and maximum temperature of air in °C, rainfall in mm (a) and incident global solar radiation in kJ∙m⁻²∙day⁻¹ and photoperiod in hours (b), corresponding to the period in which the experiment was carried out with oat (Avena sativa L.) in the agricultural year of 2014. Data from the Weather Station, belonging to the 8^th Meteorology District of the National Meteorological Institute.

Mean temperature in °C (a), rainfall in mm (b), and incident global solar radiation in kJ∙m^–2∙day^–1 (c), corresponding to the year of 2014 and the climate normals of the local during the period of 1961 – 1990. Data from the Meteorological Station of the Federal University of Santa Maria, State of Rio Grande do Sul (Source: INMET Network Data).

The period between sowing and emergence of the 4 cultivars in sowing dates of April 28, May 28, and July 14 was 6, 8, and 6 days, respectively (Table 1). The number of evaluations and the number of leaves oscillated among cultivars and sowing dates. The number of evaluations among cultivars ranged from 39 to 51 on the sowing date of April 28, from 37 to 42 on the sowing date of May 28, and from 25 to 28 on the sowing date of July 14. The number of leaves varied among cultivars, with values from 11 to 16 on the sowing date of April 28, from 13 to 15 on the sowing date of May 28, and from 10 to 12 on the sowing date of July 14. In the 3 sowing dates, more leaf number evaluation were carried out and greater number of leaves were observed in the cultivar URS Estampa. Moreover, lower number of evaluations and fewer numbers of leaves were observed in the cultivar URS Charrua. The other cultivars (URS Taura and URS Corona) were in the intermediate situation.

Overall, there was a decrease in the number of evaluations and the number of leaves with the delay of sowing date for the 4 cultivars (Table 1). Thus, it can be inferred that the oscillation of the number of evaluations and the number of leaves of cultivars among the sowing date can be explained by the growing cycle duration. As observed in Figure 1b, the average incident global solar radiation was greater on the sowing date of July 14. In this late date (July 14), there was an increase in the day length duration and higher photoperiod; consequently, cultivars presented smaller growing cycle. Similar results were found by Streck et al. (2006), in a study of the development cycle duration of rice cultivars.

Table 1
Dates of sowing, emergence, first evaluation of number of leaves, last evaluation of number of leaves, and number of evaluation of number of leaves. Values of minimum and maximum number of leaves and accumulated thermal time of 4 oat (Avena sativa L.) cultivars in 3 sowing dates in the agricultural year of 2014.

Cultivar		Sowing		Emergence		First evaluation		Last evaluation		Number of evaluation	Number of leaves				Accumulated thermal time, in °C day.
												Minimum		Maximum		Minimum		Maximum
URS Charrua		April 28		May 4		May 11		August 8		39		1		11		132.0		1,258.2
URS Taura		April 28		May 4		May 11		August 25		46		1		13		132.0		1,502.5
URS Estampa		April 28		May 4		May 11		September 5		51		1		16		132.0		1,640.3
URS Corona		April 28		May 4		May 11		September 1		49		1		16		132.0		1,583.5
Cultivar		Sowing		Emergence		First evaluation		Last evaluation		Number of evaluation	Number of leaves				Accumulated thermal time, in °C day.
												Minimum		Maximum		Minimum		Maximum
URS Charrua		May 28		June 5		June 16		September 10		37		1		13		154.5		1,314.6
URS Taura		May 28		June 5		June 16		September 15		39		1		13		154.5		1,392.4
URS Estampa		May 28		June 5		June 16		September 22		42		1		15		154.5		1,494.0
URS Corona		May 28		June 5		June 16		September 15		39		1		15		154.5		1,392.4
Cultivar		Sowing		Emergence		First evaluation		Last evaluation		Number of evaluation	Number of leaves				Accumulated thermal time, in °C day.
												Minimum		Maximum		Minimum		Maximum
URS Charrua		July 14		July 20		August 6		October 1		25		1		10		240.5		1,080.8
URS Taura		July 14		July 20		August 6		October 6		27		1		11		240.5		1,156.3
URS Estampa		July 14		July 20		August 6		October 8		28		1		12		240.5		1,195.3
URS Corona		July 14		July 20		August 6		October 6		27		1		11		240.5		1,156.3

In general, the cultivars behavior regarding to the maximum ATT was independent of sowing date (Table 1). The greatest ATT was observed in cultivar URS Estampa and the lowest in cultivar URS Charrua, wherein the other cultivars presented intermediate ATT. Overall, there was a reduction in ATT of cultivars with delayed sowing date. This fact may occur in response to increased photoperiod, with longer days and shorter nights, as shown in Figure 1b. Moreover, Locatelli et al. (2008) observed that some genotypes can respond to photoperiod.

The phyllochron estimates ranged from 94.60 to 138.90 °C day∙leaf⁻¹; 88.21 to 150.94 °C day∙leaf⁻¹, and 81.62 to133.80 °C day∙leaf⁻¹ on sowing dates of April 28, May 28, and July 14, respectively (Table 2). In a study performed by Martins et al. (2012) assessing the phyllochron in maize hybrids in 3 agricultural years, variations were also found, from 34.4 to 40.2 °C day∙leaf⁻¹ in the agricultural year of 2007/2008, 37.7 to 43.1 °C day∙leaf⁻¹ in the agricultural year of 2008/2009, and 39.2 to 44.3 °C day∙leaf⁻¹ in the agricultural year of 2009/2010. The oat phyllochron values obtained in this study are greater than the maize phyllochron values obtained by Martins et al. (2012). This can be explained by the differences between crops, being maize a summer cereal and oat a winter cereal and also due to differences in the crop cycle duration. Furthermore, different phyllochron values with oscillations were found in a research carried out in Finland during 1989 and 1990 by Peltonen-Sainio and Rajala (2007). These authors examined the development of 14 cultivars and 6 inbreed lines of oat and estimated the phyllochron with fluctuations from 68 to 87 °C day∙leaf⁻¹. These distinct values can be obtained from analysis of different cultivars and environments.

Table 2
Minimum and maximum values of phyllochron (°C day∙leaf^-1), coefficient of determination (r²) of the linear regression to estimate the phyllochron, leaf appearance rate (days∙leaf^-1), and coefficient of determination (r²) of the linear regression to estimate leaf appearance rate among 20 plants of each oat (Avena sativa L.) cultivar in 3 sowing dates in the agricultural year of 2014.

Cultivar		Sowing	Phyllochron									Leaf appearance rate
				Minimum		Maximum		Minimum r2		Maximum r2		Minimum		Maximum		Minimum r2		Maximum r2
URS Charrua		April 28		97.79		138.57		0.96		0.99		8.02		11.33		0.97		0.99
URS Taura		April 28		95.55		133.75		0.96		0.99		7.71		10.73		0.97		0.99
URS Estampa		April 28		95.43		138.90		0.95		0.99		7.79		11.10		0.96		0.99
URS Corona		April 28		94.60		124.47		0.93		0.99		7.54		10.02		0.95		0.99
Cultivar		Sowing	Phyllochron									Leaf appearance rate
				Minimum		Maximum		Minimum r2		Maximum r2		Minimum		Maximum		Minimum r2		Maximum r2
URS Charrua		May 28		88.75		137.45		0.97		0.99		6.61		10.02		0.97		0.99
URS Taura		May 28		97.38		150.94		0.94		0.99		7.10		10.89		0.95		0.99
URS Estampa		May 28		92.81		119.85		0.95		0.99		6.76		8.77		0.96		0.99
URS Corona		May 28		88.21		105.12		0.98		0.99		6.46		7.84		0.98		0.99
Cultivar		Sowing	Phyllochron									Leaf appearance rate
				Minimum		Maximum		Minimum r2		Maximum r2		Minimum		Maximum		Minimum r2		Maximum r2
URS Charrua		July 14		92.15		132.94		0.96		0.99		6.12		8.76		0.97		0.99
URS Taura		July 14		81.62		108.47		0.97		0.99		5.48		7.11		0.97		0.99
URS Estampa		July 14		81.81		133.80		0.95		0.99		5.43		8.69		0.96		0.99
URS Corona		July 14		88.56		120.41		0.95		0.99		5.85		7.90		0.97		0.99

For all cultivars and sowing dates, the relation between the NEL and ATT was linear with high coefficients of determination (r² ≥ 0.93), indicating that the phyllochron estimation by the method of linear regression between NEL and ATT is appropriate (Streck et al. 2005).

The LAR ranged from 7.54 to 11.33 days∙leaf⁻¹, from 6.46 to 10.89 days∙leaf⁻¹, and from 5.43 to 8.76 days∙leaf⁻¹ on sowing dates of April 28, May 28, and July 14, respectively (Table 2). LAR oscillations were also observed by Streck et al. (2010). The authors simulated the leaf appearance in a maize variety in 7 sowing dates in 2 agricultural years and obtained values from 1.60 to 2.21 days∙leaf⁻¹. The relation between the NEL and the number of DAE was linear for all cultivars and sowing dates, with coefficients of determination (r²) greater than 0.95 for the estimate of LAR.

Analysis of variance resulted in significant effect of the interaction cultivar × sowing dates for phyllochron and LAR. Thus, the analysis was unfolded within each factor (Table 3). On the sowing date of April 28, phyllochron was statistically greater for the cultivars URS Charrua, URS Taura, and URS Estampa and lowest for the cultivar URS Corona, ranging from 117.70 °C day∙leaf⁻¹ and 103.63 °C day∙leaf⁻¹. On the sowing date of May 28, phyllochron was greater for the cultivars URS Charrua (116.09 °C day∙leaf⁻¹) and URS Taura (117.26 °C day∙leaf⁻¹), intermediate for cultivar URS Estampa (103.60 °C day∙leaf⁻¹), and lowest for cultivar URS Corona (95.88 °C day∙leaf⁻¹). On the sowing date of July 14, the cultivar URS Charrua (111.09 °C day∙leaf⁻¹) differed from the others with the greatest phyllochron value (Table 3). Phyllochron variability among cultivars was also verified by Clerget et al. (2008) and Rosa et al. (2009) in wheat and by Pržulj and Momčilović (2013) in barley. Furthermore, in assessing the phyllochron in strawberry, Rosa et al. (2011) and Mendonça et al. (2012) observed differences among cultivars. According to these authors, different results among cultivars are due to genetic differences. Therefore, the management of these cultivars tends to be differentiated due to the occurrence of variability in leaf development. Moreover, the grower may establish cropping planning of each cultivar with the number of leaves forecast model.

Table 3
Phyllochron (°C day∙leaf^-1) and leaf appearance rate (days∙leaf^-1) of 20 plants of each oat (Avena sativa L.) cultivar and sowing date in the agricultural year of 2014.

Cultivar	Sowing date
		April 28		May 28		July 14
	Phyllochron (°C day∙leaf-1)
URS Charrua		117.70 Aa*		116.09 Aa		111.09 Aa
URS Taura		117.10 Aa		11726 Aa		96.29 Bb
URS Estampa		114.94 Aa		103.60 Bb		101.20 Bb
URS Corona		103.63 Ab		95.88 Ac		99.02 Ab
Coefficient of variation = 9.64%
Cultivar	Sowing date
		April 28		May 28		July 14
	Leaf appearance rate (days∙leaf-1)
URS Charrua		9.65 Aa*		8.57 Ba		7.37 Ca
URS Taura		9.45 Aa		8.69 Ba		6.41 Cb
URS Estampa		9.16 Aa		756 Bb		6.65 Cb
URS Corona		8.36 Ab		7.11 Bb		6.54 Cb
Coefficient of variation = 9.39%

• ^*
  Means not followed by the same upper letter in line (sowing date comparison within cultivar) and lower case in column (cultivars comparison within sowing date) differ by the Scott-Knott test at 5% probability.

Phyllochron of the cultivars URS Charrua and URS Corona did not differ between the 3 sowing dates. The cultivar URS Taura, on the sowing date of July 14, differed from the other sowing dates presenting the lowest phyllochron (96.29 °C day∙leaf⁻¹), and the cultivar URS Estampa, on the sowing date of April 28, presented the greatest phyllochron value (114.94 °C day∙leaf⁻¹) differing from the other seasons (Table 3). This phyllochron variability among sowing dates was found in maize by Streck et al. (2009) and also by Clerget et al. (2008) and Rosa et al. (2009), both in wheat.

Smaller phyllochron values on sowing date of July 14 can be attributed to increased photoperiod, with longer days and shorter nights, observed at this date (Figure 1b), which may have resulted in the fastest vegetative development. Similar results were obtained by Baldissera et al. (2014), analyzing the phyllochron in forage grasses. The authors stated that grasses growing under the canopy of trees have greater phyllochron than plants growing in full sun.

The leaf appearance rate estimates differed among cultivars. In the sowing date of April 28, the cultivar URS Corona differed from the others by presenting the lowest LAR value (8.35 days∙leaf⁻¹). Cultivars URS Charrua and URS Taura did not differ, with the greatest LAR values of 8.57 days∙leaf⁻¹ and 8.69 days∙leaf⁻¹, respectively, on the sowing date of May 28, differing from the other cultivars. Whereas, on the sowing date of July 14, the cultivar URS Charrua obtained greater LAR value (7.37 days∙leaf⁻¹), differing from the other cultivars (Table 3). Moreover, studies performed by Santos et al. (2009) with brachiaria and Mohamed et al. (2013) with wheat found differences among cultivars for the LAR estimation, corroborating the results observed in this study. According to Santos et al. (2009), these variations in the LAR estimation among cultivars can be attributed to physiological differences.

The LAR obtained for the cultivars URS Charrua, URS Taura, URS Estampa, and URS Corona were greater on the sowing date of April 28, lower on the sowing date of July 14, and intermediate on the sowing date of May 28 (Table 3). Thus, it can be inferred that there was gradual reduction in the time required for the appearance of 1 leaf with the delay of sowing date. LAR variability was also observed among wheat (Mohamed et al. 2013) and sorghum (Clerget et al. 2008) sowing dates and among seasons of the year with brachiaria (Paciullo et al. 2008). Therefore, leaf development of cultivars is accelerated with sowing date delay. However, late sowings have a smaller total leaf number. Thus, paying attention to the cropping purpose is necessary to select the sowing date and cultivar.

Overall, there was variability in phyllochron and LAR among cultivars and sowing dates. These differences of phyllochron and LAR observed among cultivars can result from their genetic and physiological differences. Moreover, the differences in phyllochron and LAR among sowing dates can be the result of environmental conditions, mainly the photoperiod. Therefore, it is suggested to considerer cultivar and sowing date in the utilization of phyllochron and leaf appearance rate values in future researches.

CONCLUSION

There is variability of phyllochron and leaf appearance rate among cultivars and sowing dates. Phyllochron oscillates between 95.88 and 117.70 °C day∙leaf⁻¹ and leaf appearance rate between 6.41 and 9.65 days ∙leaf⁻¹. The oat cropping management in function of phyllochron and leaf appearance rate is dependent on cultivars and sowing dates.

ACKNOWLEDGEMENTS

We thank the Brazilian National Council for Scientific and Technological Development (CNPq), the Coordination for the Improvement of Higher Education Personnel (CAPES), and the Rio Grande do Sul Research Foundation (FAPERGS) for granting scholarships.

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Publication Dates

• Publication in this collection
  30 Jan 2017
• Date of issue
  Jan-Mar 2017

History

• Received
  25 Mar 2016
• Accepted
  07 June 2016