throbber
American Journal of Plant Sciences, 2016, 7, 201-217
`Published Online January 2016 in SciRes. http://www.scirp.org/journal/ajps
`http://dx.doi.org/10.4236/ajps.2016.71021
`
`
`
`
`
`
`
`
`
`
`Effects of Planting Date on Winter Canola
`Growth and Yield in the Southwestern U.S.
`
`Sultan H. Begna, Sangamesh V. Angadi
`New Mexico State University, Agricultural Science Center, Clovis, NM, USA
`
`
`
`Received 4 December 2015; accepted 25 January 2016; published 28 January 2016
`
`Copyright © 2016 by authors and Scientific Research Publishing Inc.
`This work is licensed under the Creative Commons Attribution International License (CC BY).
`http://creativecommons.org/licenses/by/4.0/
`
`
`
`
`
`Abstract
`Canola (Brassica napus L.) has potential to become alternative cash crop (healthy oil for human
`and meals for animal uses) with tremendous rotational benefits in the Southwestern U.S., a region
`dominated by cereal-fallow cropping systems. However, information on optimum planting date for
`its successful production is limited. Field experiments were conducted in 2011-12 and 2012-13
`seasons under irrigation condition to study the response of canola growth and yield to planting
`dates at Clovis, NM. Three planting dates (mid-September, late-September and early-October) and
`four canola varieties (early flowering: DKW41-10 and DKW46-15; medium flowering: Riley and
`Wichita) are studied. Fall plant stand density is significantly higher for early-October than mid-
`and late-September plantings. However, a ratio of fall to spring plant stand density indicates a
`greater reduction in spring plant stand density with early-October (25%) and mid-September
`(19%) than late-September (7%). Vegetative (by 13 days) and flowering (by 7 days) duration
`phases are significantly shortened with delay in planting. The decline in aboveground dry matter
`(DM) due to delayed planting resulted in significant seed yield reduction in both 2011-12 (26%)
`and in 2012-13 (8%) when early-October and mid-September plantings were compared. There
`was a positive relationship between final DM and canola seed yield, accounting for 84 and 34%
`variation for 2011-12 and 2012-13 seasons, respectively with the 2011-12 environmental condi-
`tions being conducive for genetically controlled variation in DM production to be more apparent
`and strong in explaining the variation in seed yield among varieties. Medium-flowering varieties
`produced higher DM (9741 vs. 8371 Kg∙ha−1) and seed yield (2785 vs. 2035 Kg∙ha−1) than ear-
`ly-flowering varieties. In addition to seed yield, DM can be used as an indirect selection criterion
`for seed yield in variety selection and appropriate planting dates including a guarantee for high
`crop residues (~75% of the total aboveground biomass) production to make canola a potential al-
`ternative cash and rotational break crop in the Southwestern U.S.
`Keywords
`Alternative Potential Crop, Planting Dates, Yield, Diversity, Southwestern U.S.
`
`
`
`
`
`How to cite this paper: Begna, S.H. and Angadi, S.V. (2016) Effects of Planting Date on Winter Canola Growth and Yield in
`the Southwestern U.S. American Journal of Plant Sciences, 7, 201-217. http://dx.doi.org/10.4236/ajps.2016.71021
`
`CSIRO Exhibit 1015
`
`

`

`S. H. Begna, S. V. Angadi
`
`
`
`1. Introduction
`Canola has become the second largest oil crop after soybean in the world in just two decades [1] [2]. Recent
`rapid increase in production is associated with increases in demand for oil (as healthy oil for human use) and
`meal for animal feed [3]. USA’s share of the world canola production was still small (spring and winter canola
`combined with 0.655 and 1.002 million tons in 2008 and in 2013, respectively) but had increased substantially.
`Canola’s benefits as a good break/rotational crop are also another factor for the increase in canola production in
`a region with cereal-fallow or continuous cereal based cropping systems [4]-[8]. Grower’s interest in winter ca-
`nola in the Southern Great Plains of the USA is increasing in part to the benefits mentioned above and the crop’s
`good fit to the growing conditions and cropping systems of the region. Winter canola production area has in-
`creased from about 20,000 in 2009 to over 73,000 ha in 2012 in the Southern Great Plains [8]. Moreover, the
`value of canola’s meal after oil extraction from seed crushing is potential protein rich animals feed for the large
`dairy and beef industries that exist in west Texas and eastern New Mexico. Thus, there is a market for growers
`to sell their seeds to a crushing company easily since seed crushing plants are available in the region. However,
`there is limited information on optimum planting date for winter canola in this region, the Southwestern U.S. in
`particular.
`Planting date is one of the most important and manageable agronomic practices that affect growth, dry matter
`production, quality and yield of crops [9]-[16]. With other plant growth affecting factors being unlimiting, early
`planting has been generally found to improve crop growth and yield compared to late planting of both spring
`and winter type crops. Unlike spring crops, winter crops have to overwinter and appropriate planting date is
`even more crucial for the crops to establish well in the fall and overwinter and resume growth in spring and
`make economical yield. Finding winter survival canola varieties for the region has been a challenge but progress
`has been made by breeders of both public and private organizations with the development of varieties that are
`winter tolerant and yields comparable to other winter canola growing areas of the world [8]. New Mexico, as
`part of the Southwestern U.S., is one of the states where the national winter canola variety test is being con-
`ducted and its winter survival and yield potentials being documented [17].
`The planting window for canola in the Southern Great Plains is wide ranging from mid-August to mid-Octo-
`ber. Planting too early can lead to large plants resulting in excessive water and nutrient use while too late plant-
`ing can produce small plants that are prone to winter kill [15] [16]. For canola seed to emerge and have two un-
`folded leaves, it will require about 218-324 growing degree days [18] which can be achieved with even early-
`October planting in the Southwestern U.S. Unlike spring crops, however, good emergence in winter crops is not
`a guarantee for final good plant stand since final plant stand is determined by spring not by fall plant stand, and
`this in turn can be affected by weather and cultural practices including planting date. It was reported that later
`planting date (October 15) for canola in Kansas produced higher fall plant stand than mid-August, early-, mid-
`and late-September plantings in one of two years studies. In this study, spring plant stand was reported to be not
`different among the earlier planting dates, however later planting dates (late-September and mid-October) de-
`spite having higher fall plant stand, plants did not survive the winter [15]. A study done in China showed that
`winter extreme low temperatures resulting from late plantings (passed early-October) damaged established ca-
`nola leading to significant yield reduction [16]. A study done in Australia on canola and mustard showed that a
`yield potential of early planting over later planting if plants of early plantings are not affected by spring frost
`damage during flowering and grain filling [13]. Generally, vegetative growth and maturation periods are af-
`fected by planting date leading to dry matter production and yield difference between early and late planting
`dates.
`Several researchers have reported a positive relationship between dry matter production (both at flowering
`and maturity) and seed yield of many crops including canola, with the higher the dry matter the higher the seed
`yield which, in turn, can be affected by planting dates [9]-[14] [16] [19] [20]. A biomass of 5000 Kg∙ha−1 at
`flowering has been suggested for canola as maximum enough for maximum yield with little yield advantage for
`crops with higher levels of biomass [21] [22]. However, several studies done in different parts of the world
`showed an increase in seed yield with an increase with biomass both at flowering and maturity [13] [16] [20]
`[23]. A study done in Australia [19] using measured data and a simulation model reported a 3% to 9% canola
`seed yield reduction per week of planting date delay for the high and low rain regions, respectively. A study
`done in China using method mentioned above reported a yield penalty due to delayed planting (passed ear-
`ly-October) by as much as 20% [16]. A study done in Kansas showed that seed yield reduction by 18% with
`
`
`
`202
`
`CSIRO Exhibit 1015
`
`

`

`
`
`S. H. Begna, S. V. Angadi
`
`mid-September and mid-August compared to early-September plantings. The Kansas research, canola planted
`after September 15 did not consistently survive winter resulting in no seed production [15]. In the Southeastern
`U.S. where winter is milder than the above mentioned regions, canola seed yield was significantly reduced with
`mid- and late-October planting compared to early-October planting [24]. On the other hand, oil content was re-
`ported to be positively related to harvest index and seed size and negatively to temperature conditions post-an-
`thesis [13] [16]. The economy of winter oilseed rape cultivation is determined primarily by the achievable seed
`yield and less by oil content [25]. The biological yield of winter oilseed rape is the product of growth rate, dura-
`tion of vegetative period, and seed filling [26] [27] which, in turn, can be affected by genetic, environmental,
`agronomic factors and the interaction between them [28]-[31]. Planting date is one of the most important and
`manageable agronomic factors that can affect crop production including canola. However, there is limited in-
`formation on optimum planting date for successful winter canola production and hence an increase in production
`areas in the Southwestern U.S. The objective of this study was to investigate the response of growth and yield of
`canola to planting dates under Southwestern U.S. growing conditions.
`
`2. Materials and Methods
`2.1. Experimental Site and Design
`The study was conducted during the 2011-12 and 2012-13 growing seasons at the New Mexico State University
`Agricultural Science Center at Clovis (34.60˚N, 103.22˚W, elevation 1331 m). Soil type was Olton clay loam
`(Fine, mixed, superactive, thermic aridic paleustolls). Soil test resulted in 29.1 ppm N, 32.8 ppm P and 606 ppm
`K with pH of 7.5 and organic matter of 1.4% in 2011-12 and 28.9 ppm N, 16.7 ppm P and 456 ppm with pH of
`7.5 and organic matter of 1.9% in 2012-13 growing seasons. Fertilizer was pre-plant soil incorporated (100.8-0-
`39.2-15.9 and 78.4-0-28.0-12.7 Kg∙ha−1 N-P2O5-K2O-S for 2011 and 2012, respectively) based on soil test re-
`sults. The previous crop for both growing seasons was corn. In both years, herbicide Treflan (trifluralin) at the
`rate of 2.4 L∙ha−1 was soil incorporated before planting for weed control. Hand-hoeing was also done as needed.
`Insecticide Intrepid (methoaxyfenozide and propylene glycol) at16.8 L∙ha−1 and Corgan (chlorantraniliprole) at
`350 mL∙ha−1 were applied in spring to control insects, diamondback moth (Plutella xylostella) in particular in
`2011-12 season. In 2012-13 season insecticides mixture of Dimethoate at 1.4 L∙ha−1 and Acephoate, and Lan-
`nate (methomyl) at 4.2 L∙ha−1 targeting flee beetle (Phyllotreta spp.) in particular and a mixture of Baythroid
`(beta-Cyfluthrin and cyclohexanone) at 196 mL∙ha−1, and Prevathon (chlorantraniliprole) at 980 mL∙ha−1 target-
`ing harlequin bugs (Murgantia histrionica), flee beetle, lygus bugs (Lygus spp.) and moth larvae in fall and Tri-
`max (imidacloprid) at 350 mL∙ha−1 targeting false chinch bugs (Nysius raphanus), green peach aphid (Myzus
`persicae), cabbage aphid (Brevicoryne brassicae) and harlequins in particular were applied in late spring and a
`mixture of Dimethoate at 1.4 L∙ha−1, Brigade (bifenthrin) at 420 mL∙ha−1 and Brinstar at 5.6 L∙ha−1 targeting
`harlequins, lygus bugs was applied in June of 2012-13 growing season. The application rates of herbicide and
`insecticides were determined based on the recommendation for weed and insect control indicated in the Great
`Plains canola production handbook.
`In both years, canola was planted into a conventionally tilled seedbed under sprinkler irrigations. The row
`spacing was 0.15 m with a plot having 11 rows. Plot size was 9.14 by 1.68 m. Canola was planted with a plot
`drill (Model 3P600, Great Plains Drill) at seeding rate of 6.7 Kg∙ha−1 in both years and this is within the recom-
`mended seeding rate for canola production in this region. The experimental design was a randomized complete
`block with split plot arrangement replicated four times. The main plots had three planting dates (September 19
`as mid-September, September 28 as late-September and October 7 as early-October). The subplots were 4 cano-
`la varieties (early flowering/maturing: DKW 41-10, DKW 46-15 and medium flowering/maturing: Riley and
`Wichita). The canola varieties were selected based on yield potential, flowering/maturity groups and seed avail-
`ability. The early flowering/maturing (open pollinated and Roundup Ready) varieties were from Monsanto while
`the medium flowering/maturing (open pollinated) varieties were from Kansas State University.
`Growing season weather data were collected from a National Weather Service station located at the Agricul-
`tural Science Center at Clovis. Sprinkler irrigations were applied as needed throughout the growing season and
`more so from the time the crop started regrowth in spring (Figure 1). In April and early May of 2012-13 crops
`were irrigated more to encourage more regrowth so that the damage caused by the unusual repeated freeze oc-
`curred that year could be compensated. Precipitation was not adequate in both growing seasons (with total pre-
`cipitation from planting to final harvest was only 215 and 193 mm for 2011-12 and 2012-13 growing seasons,
`
`
`
`203
`
`CSIRO Exhibit 1015
`
`

`

`S. H. Begna, S. V. Angadi
`
`
`
`
`Figure 1. Daily minimum, mean and maximum temperature and daily irrigation and
`precipitation during 2011-12 and 2012-13 growing seasons.
`
`
`respectively) resulting in 453.4 and 518.2 mm of irrigation water used in 2011-12 and 2012-13 seasons, respec-
`tively. Irrigation was terminated on May 26 and June 14, respectively, in 2011-12 and 2012-13 growing seasons.
`Daily irrigation and precipitation amounts along with daily minimum, maximum and mean temperature are pre-
`sented in Figure 1.
`
`2.2. Data Collection
`Plots were assessed for fall and spring plant stand 2 rows of 1 meter taken from the center rows and converted
`into plant stand m−2. A fall to spring plant stand ratio was also calculated which is a good indicator of winter
`survival. When there was 50% of the plants in the plot with 1 flower or more the date was noted as bloom date.
`In 2012 the bloom date occurred between March 24 through April 4, 2012 and while in 2013 because of cooler
`temperatures it occurred between April 4 through 21, 2013. In 2013 there was a repeated freeze (Figure 1) re-
`sulting in plant parts being damaged including flower parts, buds and small pods leading to a regrowth and
`re-bloom of plants. In the 2012-13 season, beside the above parameters, vegetative growth was assessed on
`samples harvested 2.5 cm aboveground within 0.25 m2 area of each plots three times during the growing season.
`All plant samples were bagged and dried to a constant weight at 65˚C to calculate the aboveground dry matter.
`Final harvest at 2.5 cm aboveground within 2 m2 of each plots were done on June 18 and July 2 for 2012 and
`2013 seasons, respectively. Bagged plants samples were dried to a constant weight at 65˚C. Once total weight of
`each sample was recorded, samples were threshed with a plot combine (Model Elite Plot 2001, Wintersteiger,
`Ried, Austria) and seed were collected and weighed. Harvest index, the ratio of grain to total biomass (grain plus
`aboveground dry matter) was calculated for each plot. Seed oil content was also determined on seed samples
`sent to the Brassica Breeding and Research Lab at the University of Idaho and this also allowed calculation of
`oil yield (Oil yield, seed yield multiplied by seed oil content).
`
`
`
`204
`
`CSIRO Exhibit 1015
`
`

`

`
`
`S. H. Begna, S. V. Angadi
`
`2.3. Statistical Analysis
`Statistical analyses were performed using SAS PROC MIXED procedures in SAS 9.3 [32] to detect if differ-
`ences existed between planting dates and varieties and their interactions with year. Significance was considered
`at p < 0.05 and protected LSD was obtained using the PDIFF statement in the LSMEANS option within SAS
`PROC MIXED to decide where differences occurred within significant interactions [33]. Regression functions
`were also fitted to the data and planting date of each growing season.
`
`3. Results and Discussion
`3.1. Environmental Conditions
`The distribution of precipitation during the experimental periods varied between the years. Precipitation re-
`ceived during crop establishment and early plant growth stage (September through November) in the 2011-12
`season (5 rain events with only one above 10 mm) was lower than the 2012-13 season (8 rain events with three
`above 10 mm). The opposite occurred during the later plant growth stage, especially during the month of March,
`April and May the time the crop is most active with flowering and podding process (9 rain events with two
`above 10 mm and 4 rain events with all below 10 mm, for the 2011-12 and 2012-13 seasons, respectively)
`(Figure 1). The number of rain events and amounts during seed filling in 2011-12 and 2012-13 seasons were
`similar (8 and 6 rain events for 2011-12 and 2012-13 seasons, respectively with 2 of them above 10 mm) and the
`growing period in both seasons can be considered as dry since the benefit from such rainfall events to the plants
`was limited. Total precipitation amount received during the 2011-12 (215 mm) and the 2012-13 (193 mm)
`growing seasons were similar (a difference of only 22 mm) but still not enough to grow a crop with only preci-
`pitation. Thus, this study was done under limited irrigation and 104 and 137 mm of irrigation water was applied
`for 2011-12 and 2012-13 growing seasons, respectively, during the early growth stage “emergence through ro-
`seate” (September through November). Irrigation amount applied during the latter active part of the growing
`seasons (flowering and seed filling periods) were 279 and 32 mm in 2011-12 and 241 and 89 mm in 2012-13
`seasons (Figure 1).
`Temperature pattern during the crop cycle varied between the 2011-12 and 2012-13 seasons. Daily tempera-
`ture ranged from −8°C to 34°C (early growth stage), from −9°C (12 minimum temperature events with below 0°C)
`to 27°C (beginning of regrowth to beginning of flowering), from −8°C (6 minimum temperature events with be-
`low 0°C, flowering and podding stages) to 34°C (with 37 maximum temperature events above 21°C), ranged
`from 9°C to 37°C (with 32 maximum temperature events above 21°C and this is during the whole seed filling pe-
`riod) in 2011-12 season. Whereas in 2012-13 season, daily temperature ranged from −11°C to 32°C (early
`growth stage), from −12°C (26 minimum temperature events with below 0°C) to 28°C (beginning of regrowth to
`beginning of flowering), from −9°C (12 minimum temperature events with below 0°C, flowering and podding
`stages) to 34°C (with 44 maximum temperature events above 21°C), from 9°C to 39°C (with 30 maximum tem-
`perature events above 21°C during the whole seed filling period) in 2012-13 season. As seen with the above
`minimum temperature events, the 2012-13 season was a lot colder than the 2011-12 season during early growth,
`flowering and pod formation stages leading to longer time requirement for plants to reach those different stages
`including maturity (Table 1). The extreme and potentially yield limiting weather that occurred in 2012-13 sea-
`son during flowering and early podding stages resulted in the loss of plant parts including flowers, buds and
`small pods. This, in turn, resulted in plants investing some of the resources for regrowth which otherwise could
`have been used for more pods and hence more seeds and possibly more yield.
`
`3.2. Crop Establishment and Plant Stand
`Canola establishment and subsequent fall plant stand density were good for all of the three planting dates
`(mid-September, late-September and early-October) in both 2011-12 and 2012-13 seasons. This was expected
`since the growing conditions including moisture through irrigation was favorable for the crop to establish well.
`Although the crop established well, as expected plants of late planting date were much smaller when winter ar-
`rived reflecting the shorter time and accumulated degree days resulting from the delay in planting. There was a
`significant year x planting date interaction effect (p < 0.0001) on fall plant stand density. The highest fall plant
`stand density was recorded for early-October (133 plants∙m−2) and mid-September (128 plants∙m−2) plantings in
`2011-12 and mid-September planting in 2012-13 (127 plants∙m−2) seasons. Groups with second and third for fall
`
`
`
`205
`
`CSIRO Exhibit 1015
`
`

`

`S. H. Begna, S. V. Angadi
`
`
`Table 1. Fall and spring plant stand and their ratio of four canola varieties under three planting dates in 2011-12 and 2012-13
`seasons.
`
`
`Planting dates
`
`Mid-Sept.
`Late-Sept.
`Early-Oct.
`
`LSD (0.05)
`
`DKW4110
`DKW4615
`RILEY
`WICHITA
`
`LSD (0.05)
`
`Source of variation
`
`2011-12
`
`2012-13
`
`2011-12
`
`2012-13
`
`Fall plant stand (numbers∙m−2)
`
`Spring plant stand (numbers∙m−2)
`
`2 yrs avg
`
`
`Fall to spring plant stand ratio
`
`10
`
`105a
`128
`133
`
`119
`129
`102
`115
`
`10
`
`
`
`127
`87
`115
`
`
`
`
`
`
`
`
`
`
`92
`111
`102
`
`121
`106
`84
`95
`
`
`
`12
`
`8
`
`109
`90
`102
`
`98
`124
`85
`95
`
`
`
`1.19
`1.07
`1.25
`
`0.10
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`0.1239
`
`0.7943
`
`0.0208
`Year (Y)
`0.0148
`
`0.9326
`
`0.0155
`Planting date (PD)
`0.0862
`
`0.0129
`
`<0.0001
`Y x PD
`0.5430
`
`<0.0001
`
`0.0008
`Variety (V)
`0.1713
`
`0.0014
`
`0.0905
`Y x V
`0.5943
`
`0.6893
`
`0.1857
`PD x V
`0.9305
`
`0.7765
`
`0.8347
`Y x PD x V
`aNumber within row x column groups differing by the values less than the LSD value were not different according to LSD (p > 0.05).
`
`plant stand density were early-October and early-September planting dates of 2012-13 and 2011-12 seasons, re-
`spectively (Table 1). The lowest fall plant stand density (87 plants∙m−2) was recorded for late-September plant-
`ing date in 2012-13 seasons. Plants of the first two planting dates (especially mid-September) in both seasons
`were more vigorous than the early-October planting. This result in part agrees with the results of research on
`canola planted in October 15 in Kansas produced higher fall plant stand than mid-August, early-September,
`mid-September and late-September plantings in one of 2 years studies [15].
`There were year and variety one-way significant effects on fall plant stand density. Greater fall plant stand
`density, averaged over planting dates and varieties, was recorded in 2011-12 (122 plants∙m−2) compared to the
`2012-13 season (110 plants∙m−2) perhaps a reflection of the slightly conducive warmer temperature occurred in
`2011-12 (mean daily temperature ranging from 11˚C to 23˚C) than in the 2012-13 season (mean daily tempera-
`ture ranging from 5˚C to 23˚C) (Figure 1). There was significant difference between canola varieties for fall
`plant stand density (Table 1). Early flowering/maturing DKW46-15 and DKW41-10 varieties gave 129 and 119
`plants∙m−2, respectively, followed by Wichita with 115 plants∙m−2 and the lowest plant stand density recording
`was for Riley with 102 plants∙m−2 reflecting their genetic makeup with the early flowering/maturing variety in
`general producing more plant stand than the medium flowering/maturing ones.
`Plots were also assessed for spring plant stand density, and a significant year x planting date interactions ef-
`fect (p < 0.0129) was detected for this variable. Within the interaction effects in spring plant stand density, the
`highest spring plant stand was recorded for late-September planting of 2011-12 (111 plants∙m−2) and mid-Sep-
`tember planting of 2012-13 (109 plants∙m−2) seasons, followed by a secondary group that included early-October
`planting of both seasons (102 plants∙m−2) and the lowest plant stand density was recorded for late-September
`planting of 2012-13 season (90 plants∙m−2). A ratio of fall to spring plant stand density which is a good indicator
`of winter survival was also assessed and only planting date had significant effect on this variable (Table 1). The
`reduction in plant stand density ratio was 19 and 25% for mid-September and early-October, respectively while
`
`
`
`206
`
`CSIRO Exhibit 1015
`
`

`

`
`
`S. H. Begna, S. V. Angadi
`
`that of the late-September planting date had only 7% reduction in plant stand density ratio. This, perhaps, sug-
`gests that plant sizes of late-September planting to be less damaged by winter kill than the mid-September (big-
`ger plants) and early-October (small plants) planting dates. Planting too early could lead to large plants resulting
`in excessive water and nutrient use, while planting too late on the other hand could produce small plants that are
`prone to winter kills [15] [16]. Too big of a plant from early planting and too small of a plant from late planting
`suggests a requirement of an optimum planting date for appropriate stage and plant size for better winter surviv-
`al by the canola crop. As with fall plant stand density, the highest spring plant stand density was recorded for
`early flowering/maturing DKW41-10 and DKW 46-15 varieties (111 plants∙m−2, averaged over varieties), fol-
`lowed by medium flowering/maturing Wichita and Riley varieties (90 plants∙m−2, averaged over varieties). Early
`flowering/maturing variety had higher spring plant stand density than the medium flowering/maturing varieties
`which was also seen in fall plant stand density perhaps reflecting their overall genetic difference. Even though
`there was a reduction in spring plant stand density due to planting dates reflected in the ratio ranging from 7 to
`25%, final spring plant stand recorded in this study are more than the spring optimum stand density (80 to 150
`and 60 to 80 plants∙m−2, for fall and spring stand density) reported in Europe [26] reflecting the milder winter
`and growing conditions of Southwestern US compared to the one in Europe. A study done in Kansas showed
`that spring plant stands of canola were not different among the earlier planting dates (mid-August, late-August
`and early-September) while later planting dates (late-September and mid-October) despite having higher fall
`plant stand, plants did not survive the winter and hence zero spring plant stand which can be linked to the grow-
`ing conditions of the study area which was also rainfed while our study was under irrigation [15].
`Given canola’s ability to compensate for lower plant densities by producing larger leaf area, enhanced
`branching and increased number of pods per plant, average yield can be achieved over a wide range of plant
`densities (8 - 90 plants∙m−2; [21]; 20 - 80 plants∙m−2; [34]). It was also reported that a plant stand density ranging
`from 34 to 64 plants∙m−2 (with similar seed yield 4800 and 4100 Kg∙ha−1) [5] for winter canola varieties planted
`from March through April in Australia. And these were considered as acceptable commercial levels (>30
`plants∙m−2) to produce economical yield. Spring plant stand is more critical than fall plant stand density since
`yield is being determined by final spring plant stand not fall plant stand. Canola is also one of the crops reported
`to be capable of producing close to maximum yields with stand reductions by more than 50% [35]. Since this
`was a study with irrigation, winter canola varieties tested here germinated and grew well in the fall and survived
`the winter well, and produced economical yield from all planting dates although there was a reduction in spring
`plant stand density.
`
`3.3. Crop Phenology
`There were a significant year x planting date and year x variety interaction effects on the time and degree days
`required for the plants to reach flower initiation, 50% flowering, end of flowering, seed filling duration and ma-
`turation (Table 2 and Table 3). The number of days required for plants to reach flower initiation (174 to 187 vs.
`184 to 195 days), 50% flowering (179 to 192 vs. 191 to 204 days) and end of flowering (224 to 242 vs. 233 to
`252 days) were significantly lower in the 2011-12 than in the 2012-13 seasons. The difference between the two
`seasons in number of days to reach these stages by the plants were also reflected in the accumulated GDD (for
`example 1153 to 1218 vs. 1259 to 1322 GDD were required to 50% flowering , for 2011-12 and 2012-13 sea-
`sons, respectively, Table 3). Minimum temperatures during rosette and beginning of regrowth have been linked
`to prolonging plant stages including stem elongation and flower initiation in winter crops [13] [16] [19] [20] [36]
`[37]. Twelve minimum temperature events below 0˚C during beginning of regrowth to beginning of flowering
`occurred in 2011-12 season while 26 minimum temperature events with below 0˚C occurred in 2012-13 seasons
`(Figure 1). Number of days and accumulated GDD requirements for plants to initiate flowering, 50% flowering
`and end of flowering were significantly affected by planting date in both seasons (Table 2 and Table 3). The
`number of days required for the above mentioned plant stages were reduced with delay in planting (for example,
`174 vs. 187 days for early-October and mid-September, respectively in 2011-12 season and 184 vs. 195 days in
`2012-13 seasons were required for plants to reach 50% flowering) while more degree days being accumulated
`with delayed planting (Table 2 and Table 3). The shortening of plant growth period such as reaching 50% flo-
`wering with delayed planting date has been reported before for many crops including canola, safflower, wheat
`[13] [16] [20] [38]) which can lead to the faster phenological development resulting from more accumulated
`growing degree days.
`
`
`
`207
`
`CSIRO Exhibit 1015
`
`

`

`S. H. Begna, S. V. Angadi
`
`
`Table 2. Growing degree days required from planting to start of flowering, 50% flowering and end of flowering and seed
`filling duration of four canola varieties under three planting dates in 2011-12 and 2012-13 seasons.
`
`2012-13
`2011-12
`Start of flowering
`
`1080a
`1099
`1158
`1112
`
`1081
`1123
`1121
`1124
`1112
`
`6.2
`
`5.9
`
`1176
`1210
`1251
`1212
`
`1183
`1230
`1210
`1226
`1212
`
`2012-13
`2011-12
`2012-13
`2011-12
`End of flowering
`50% flowering
`Growing degree days from planting
`1259
`1933
`1290
`1933
`1322
`1933
`1290
`1933
`
`2189
`2191
`2189
`2190
`
`1153
`1186
`1218
`1186
`
`1130
`1198
`1205
`1209
`1186
`
`6.2
`
`5.8
`
`1240
`1297
`1302
`1322
`1290
`
`1933
`1933
`1933
`1933
`1933
`
`1.3
`
`1.4
`
`2191
`2189
`2189
`2189
`2190
`
`
`
`Planting dates
`Mid-Sept.
`Late-Sept.
`Early-Oct.
`Mean
`LSD (0.05)
`DKW4110
`DKW4615
`RILEY
`WICHITA
`Mean
`LSD (0.05)
`
`
`
`
`
`
`
`Source of variation
`<0.0001
`
`<0.0001
`
`<0.0001
`
`<0.0001
`Year (Y)
`0.3966
`
`0.3966
`
`<0.0001
`
`<0.0001
`Planting date (PD)
`0.3966
`
`0.3966
`
`0.9269
`
`0.0403
`Y x PD
`0.4000
`
`0.4000
`
`<0.0001
`
`<0.001
`Variety (V)
`0.4000
`
`0.4000
`
`0.0066
`
`0.0383
`Y x V
`0.4350
`
`0.4350
`
`<0.0001
`
`0.1659
`PD x V
`0.4350
`
`0.4350
`
`0.0770
`
`0.3709
`Y x PD x V
`aNumber within row x column groups differing by the values less than the LSD value were not different according to LSD (p > 0.05).
`
`Table 3. Number of days required from planting to start of flowering, 50% flowering and end of flowering and seed filling
`duration of four canola varieties under three planting dates in 2011-12 and 2012-13 seasons.
`
`2012-13
`2011-12
`Seed filling duration
`
`692
`692
`692
`692
`
`692
`692
`692
`692
`692
`
`1.3
`
`1.4
`
`754
`753
`754
`754
`
`753
`753
`753
`753
`753
`
`
`
`
`
`
`
`
`
`
`2012-13
`2011-12
`Seed filling duration
`
`2012-13
`2011-12
`Start of Flowering
`
`187a
`180
`174
`180
`
`178
`181
`181
`181
`180
`
`195
`192
`184
`190
`
`187
`193
`190
`192
`191
`
`2012-13
`2011-12
`2012-13
`2011-12
`End of flowering
`50% flowering
`Number of days from planting
`204
`242
`200
`233
`191
`224
`198
`233
`
`252
`245
`233
`243
`
`192
`185
`179
`185
`
`182
`186
`187
`187
`186
`
`
`
`233
`233

This document is available on Docket Alarm but you must sign up to view it.


Or .

Accessing this document will incur an additional charge of $.

After purchase, you can access this document again without charge.

Accept $ Charge
throbber

Still Working On It

This document is taking longer than usual to download. This can happen if we need to contact the court directly to obtain the document and their servers are running slowly.

Give it another minute or two to complete, and then try the refresh button.

throbber

A few More Minutes ... Still Working

It can take up to 5 minutes for us to download a document if the court servers are running slowly.

Thank you for your continued patience.

This document could not be displayed.

We could not find this document within its docket. Please go back to the docket page and check the link. If that does not work, go back to the docket and refresh it to pull the newest information.

Your account does not support viewing this document.

You need a Paid Account to view this document. Click here to change your account type.

Your account does not support viewing this document.

Set your membership status to view this document.

With a Docket Alarm membership, you'll get a whole lot more, including:

  • Up-to-date information for this case.
  • Email alerts whenever there is an update.
  • Full text search for other cases.
  • Get email alerts whenever a new case matches your search.

Become a Member

One Moment Please

The filing “” is large (MB) and is being downloaded.

Please refresh this page in a few minutes to see if the filing has been downloaded. The filing will also be emailed to you when the download completes.

Your document is on its way!

If you do not receive the document in five minutes, contact support at support@docketalarm.com.

Sealed Document

We are unable to display this document, it may be under a court ordered seal.

If you have proper credentials to access the file, you may proceed directly to the court's system using your government issued username and password.


Access Government Site

We are redirecting you
to a mobile optimized page.





Document Unreadable or Corrupt

Refresh this Document
Go to the Docket

We are unable to display this document.

Refresh this Document
Go to the Docket